Principal Data Scientist Resume Samples

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S Toy

Sabryna

Toy

7866 Alexys Mews

Houston

+1 (555) 104 2943

7866 Alexys Mews

Houston

Phone

p +1 (555) 104 2943

Experience Experience

Boston, MA

Principal Data Scientist

Boston, MA

Baumbach, Funk and Rodriguez

Boston, MA

Principal Data Scientist

Lead a core team of data scientists to design and develop models to make Palo Alto Networks a predictive enterprise
Measures effectiveness of improvements through deep analysis of data on performance metrics striving for cost effective high quality improvements
Partner with GE Software Engagement Managers to shape Statements of Work for Data Science opportunities and GE Software Solutions
Consult with and/or assist in software engineering for proven techniques, including design, development, and efficacy testing
Execute product specification, system design, development and system integration
Develop algorithms based on these insights to improve ad selection, delivery, and pricing
Dig through our large data sets (cleaning them if necessary) and develop insights that can be used to improve our ad selection, delivery, and pricing

New York, NY

Think Big Principal Data Scientist

New York, NY

Beer, Hartmann and Franecki

New York, NY

Think Big Principal Data Scientist

6+ years working in Speech/NLP Research or Implementation
Provide consulting to Analytic Solutions team to build Speech/NLP packaged solutions and offerings
Staying up to date with latest Speech/NLP research and applications to share internally
Building Speech/NLP solutions with tools such as PyTorch, TensorFlow, MXNet et al
Mentoring Data Scientists and Data Engineers on Speech/NLP problems
Hands on leadership, consulting and support for Speech/NLP projects
Subject Matter Expert for Deep Learning based Speech/NLP domain

present

Philadelphia, PA

Senior Principal Data Scientist

Philadelphia, PA

O'Connell, Flatley and Sanford

present

Philadelphia, PA

Senior Principal Data Scientist

present

Work closely with our Head of Analytics, cyber security teams and product teams to develop modeling tools for insurers
Create predictive modeling that projects cyber security risk
6-8+ years of experiencing working with highly sophisticated modeling
Work with multiple, complex data sources at large scale
75% of the time driving multiple analytic projects with high complexity, strategic value, and executive visibility
Communicate and champion strategic, long-range, and capital proposal and usage plans with high-level management in IT, finance, business-line, and strategy functions
Lead the team of data scientists specializing in a range of statistical, natural language processing, and machine learning techniques

Education Education

Bachelor’s Degree in Computer Science

Howard University

Bachelor’s Degree in Computer Science

Skills Skills

Strong conceptual and creative problem-solving skills; ability to work with considerable ambiguity; ability to learn new and complex concepts quickly
Ability to explore different directions based on data and be able to quickly change direction based on the analysis
Exceptional attention to detail; ensures deliverables are of high quality
Excellent communication & presentation skills, with the ability to communicate the results of analyses in a clear and effective manner
Strong influence and relationship management skills; comfortable interacting with all management levels
Solid knowledge and experience with a scientific computing platform (e.g. scikit learn, Weka, MLlib)
A strong voice for data integrity and reporting quality utilizing best-practices and industry standards
Strong understanding and background in probability theory, random process, statistics, and optimization techniques
Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation
Strong interpersonal, oral and written communication and presentation skills, ability to communicate complex findings in a simple manner

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Principal Data Scientist Resume Examples & Samples

Deliver analytic and quantitative solutions to clients, exercising sound business judgment, proactively following up on tasks as needed and managing those tasks through to completion
Learn and understand clients’ business, be able to gather business requirements associated with big data and advanced analytics, and deliver results
Identify project details, conduct ad hoc analyses, implement best practices and develop new, advanced analytics that improve the efficiency and quality of project and company deliverables

Principal Data Scientist, Associate Director Resume Examples & Samples

Assess requirements of stipulated business needs for analytic solutions against state of the art analytic methods and technologies and make decisions with respect to the appropriate methodologies, tools and technologies to enable the solution
Facility in the management and manipulation of large datasets, both structured and unstructured
Ability to lead technical teams comprising scientists, developers and business analysts
Mentoring and supervision of junior data scientists and developers
Willing and able to travel 30-50%, including international travel
Prefer training in accounting
Prefer recognized expertise in an analytics discipline as evidenced by publications or awards
Minimum of 10 years in the market, designing and delivering services or solutions for which data modeling and analytics are a significant component

Principal Data Scientist Resume Examples & Samples

Work closely with key “client” groups – including marketing, ad sales, digital and programming teams – to understand core business issues and identify opportunities to improve business results
Champion/evangelize data as a strategic business asset and driver of incremental revenue opportunities
Specific Business Problem Analytics
Identify the data needs for each business problem and partner with internal resources to acquire data and prepare for analysis
Evaluate different modeling approaches with internal partners (e.g., Multivariate Regression, Logistic Regression, Machine Learning, Decision Trees, Lifetime Analysis, Clustering Algorithms, Probabilistic Models)
Interpret results and communicate findings to senior leaders in a manner that drives understanding and influences decision making
Tool Development & Implementation
Drive the development of analytical, data-driven tools that can drive better/faster decision making and/or more personalized interactions with our consumers
Manage the lifecycle of decision science support as solutions advance from theory, proof-of-concept, beta tests, and finally into fully implemented tool sets
Data Development, Enhancement & Exploration
Propose new sources of data for acquisition, from both internal consumer touch points and external third party data partnerships
Conduct exploratory data mining and analysis to understand customer engagement and retention and develop tools to identify trends in audience data
8+ years of relevant experience with a proven track record of leveraging large amounts of data to drive significant business impact
Passion for empirical research, experimentation, and answering hard questions with data
Experience solving analytical problems using a combination of scientific approaches from the fields of mathematics, statistics, and operation research
Experience with an analytic tool such as R, SAS, or SPSS
Experience working with relational databases and SQL
Experience working with Big Data and distributed computing tools (Map/Reduce, Hadoop, Hive, etc.)
Experience with programming languages like Python or Java
Experience working with marketing and response data from various media channels, including television, social media, online video, search, email, mobile, and SMS
Experience working with digital and mobile environment data, including online behavior tracking, video players, apps, cookies, and device IDs
Experience working with ad sales data for the media/publishing industry, including rate card, GRPs, Nielsen ratings, and inventory forecasts
Knowledge of front-end programming tools sets like HTML, JavaScript, and CSS for data acquisition efforts
Bachelors degree in Statistics, Econometrics, Mathematics, Operations Research, Computer Science, or equivalent/related degree

Principal Data Scientist Resume Examples & Samples

Working knowledge of one or more software development languages expected (Java, C, C , C#, PHP, Perl)
Extensive knowledge of SQL and one or more of the following SAS, R, Matlab, S , Stata
Highly skilled in problem solving and managing priorities
Strong conceptual and creative problem-solving skills; ability to work with considerable ambiguity; ability to learn new and complex concepts quickly
7 years of total work experience, with at least 3 years creating analytical models using statistical tools
Experience in managing high powered analytical team
Retail experience is a must

Senior Principal Data Scientist Resume Examples & Samples

Business Domain Experience using Analytics
The candidate must be able to independently run analytic projects and help our internal clients understand the findings and translate them into action to drive their business
Passion to build mastery in the development and use of simulation modeling and analytics through shared learning with team members and business stakeholders
Minimum 15+ years of related experience required
Ph. D in quantitative field desirable
PhD in quantitative field desirable (statistics, economics, computer science, mathematics)

Principal Data Scientist Resume Examples & Samples

Dig through our large data sets (cleaning them if necessary) and develop insights that can be used to improve our ad selection, delivery, and pricing
Develop algorithms based on these insights to improve ad selection, delivery, and pricing
Develop algorithms to predict user behavior
Design and run experiments to compare algorithms and improve their effectiveness
Bring successful algorithms from proof of concept all the way to product delivery
Apply machine learning techniques to improve the ongoing efficacy of the algorithms
Contribute to Millennial Media's technical vision
Masters or PhD Degree in Machine Learning, Operations Research, Applied Math, or other similar fields

Principal Data Scientist Resume Examples & Samples

Bachelor's or Master's degree in a scientific/technical field. Ph.D. preferred
8+ years industry experience in data analysis and modeling
Knowledge and understanding of fundamental probability and statistics

Principal Data Scientist Resume Examples & Samples

3+ years experience in building production machine learning or statistical models and systems on data sizes greater than 100 million rows
Additional academic research experience with large data sets a strong plus
Proven ability to take ideas from research to production
Experience in Ad Tech, Online Media or E-Commerce
Production-level programming skills in Java, Scala or Python
Experience with Map/Reduce or other Big Data processing frameworks, such as Apache Spark
Experience mentoring / supervising team members a strong plus
Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions when appropriate

Principal Data Scientist Resume Examples & Samples

Own the strategic planning and research initiatives involved with inventory planning, risk modeling and process improvement and sizing up opportunities from new initiatives. Build prototypes to demonstrate the benefits from proposed changes to the decision systems and operational processes
7 to 10 years’ experience working with real world supply chain problems
Master degree in Operations Research, Statistics, Applied Mathematics, Computer Science, Industrial Engineering, or related area
Solid knowledge in inventory planning, network modeling, and mathematical optimization such as linear/nonlinear programming and mixed-integer programming

Principal Data Scientist Resume Examples & Samples

Extracts data from various databases; performs exploratory data analysis, cleanses, massages, and aggregates data
Employs scaling & automation to data preparation techniques
Drives new methods to analyze structured and unstructured data; introduces novel visualization and presentation paradigms to communicate discoveries
Introduces incremental improvements to data analysis, visualization, and presentation techniques to communicate discoveries
Researches relevant emerging empirical methods and quantitative tools
Possesses exceptional business acumen; identifies and understands business problems from strategy through operational impacts
Identifies business problems to solve that have the most value to the company
Consummate story-teller; expert global audience communicator (corporate wide)
Drives to close the gap between insights and business operationalization, via, e.g., in-database and real-time analytics
Initiates and owns major company-wide analytic initiatives from a methodology perspective
Establishes Starbucks analytic practices across the corporation
Mentors data scientists in algorithm development and corporate and industry-wide analytics evangelism
Years within data analysis field or discipline (Minimum 10 Year’s Experience)
Education: MS+ (PhD preferred) with concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science or similar discipline
PhD in quantitative discipline, preferred
Mastery and comprehensive proficiency across most Modeling & Machine Learning Techniques (regression, tree models, survival analysis, cluster analysis, forecasting, anomaly detection, association rules, etc.)
Mastery and comprehensive proficiency across most Data ETL (Teradata, Oracle, SQL, Python, Java, Ruby, Pig)
Mastery and comprehensive proficiency across most Analytic Languages (R, SAS, SPSS, Stata)
Big data processing techniques, preferred

Principal Data Scientist Resume Examples & Samples

Present updates, insights, and final recommendations with influence to diverse audiences
Leads internal and external program teams for scheduled product rollout creating requirements documents, obtaining signoff, managing risks, and documenting new and changed processes
Drives the technical production processes, infrastructure, monitoring and tools for project delivery
Carries out post-event analysis to validate forecast assumptions and identifies all additional factors associated with the change
Graduate degree in quantitative field (e.g., mathematics, statistics, economics, and data sciences). PhD's strongly preferred
Experience with Experimental test design (A/B split, full factorial, fractional factorial)
Able to effectively communicate the and inspire others to innovate and deliver
Impeccable attention to detail and very strong ability to convert complex data into insights and action plans
5+ years working within an enterprise data warehouse environment or Big Data architecture
8+ years of experience in developing statistical targeting models using SAS and or R and or SPSS with Strong SQL skills a plus
8+ years of business experience in an advanced analytics role within marketing, research or similar groups
Verbal reasoning and communication skills
Ability to apply skills to solve weakly structured business problems

Principal Data Scientist Resume Examples & Samples

Design and engineer experiments on end to end scenarios
Analyze data and study the system to provide meaningful insights on the product quality
Build predictive models and conduct experiments to gain insights into quality, health of the product and customer usage
Ability to explore different directions based on data and be able to quickly change direction based on the analysis
Experience with open source cloud based platforms, Microsoft Azure or any other public / private cloud platforms

Principal Data Scientist Resume Examples & Samples

Strong programming skills - We’re programming-language agnostic so welcome all languages but prefer Java, C++, C# with tools such as Hadoop, Spark, Pig or Hive in your background
Strong algorithmic problem-solving skills
Applied statistics & mathematics skills: p-values, confidence intervals, regression, classification, and optimization are core lingo

Principal Data Scientist Resume Examples & Samples

Lead complex interdepartmental data science programs that designs solutions across one or more technologies
Lead a small group of less experienced team members on analytical projects or on cross-functional teams. Frequently serves as team lead on multiple projects, mentor and train junior team members
Lead development and implementation of scalable big-data driven solutions for accurate targeting of users with relevant business treatments and efficient algorithmic inventory. Manage challenges associated with investigating and understanding large datasets, and building models based on Big Data solutions

Big Data Engineer / Principal Data Scientist Resume Examples & Samples

5+ years of experience working with large data sets or do large scale quantitative analysis
Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C#
Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments
Experimentation design or A/B testing experience is preferred

Principal Data Scientist Resume Examples & Samples

Inspirational leadership of the Data Science team in the center of Microsoft BI and Platform Unit
Applying statistical and machine learning techniques to problems like customer/user segmentation/classification, churn prediction, & fraud detection
Understanding the data generated by experiments, and producing actionable, trustworthy conclusions and executive presentations
Taking complex problems and the associated data and giving the answers in a concise form to assist the team in making key business decisions
Presenting findings and recommendations to key decision makers at various management levels
Using and promoting data-exploration techniques to discover new or previously unasked questions
Proactively finding ways to showcase our marquis product features and using our technology in a best practice way
Presenting your work at conferences, data summits and at the Executive Briefing Center to customers and top Microsoft executives
Excellent technical coaching and people management skills, with a proven record of building and growing strong data science teams
Strong passion for understanding key business problems, bringing together the team to understand data/ instrumentation needs and/or mine through data to unearth deep insights into customer experiences
Experience with product and service telemetry
Fundamental knowledge in applied statistics and mathematics: p-values, confidence intervals, significance testing, regression, classification
Experience and passion in professional data visualization, ideally with Power BI
Experience working with unstructured big data
Data hacking skills and knowledge in various analytical programming languages: R or Python, C#, Azure ML, Cosmos
Superior interpersonal, verbal, visual and written communication and presentation skills, ability to communicate complex findings in a simple manner
Experience in data science team leadership: developing, motivating and engaging top talent for high performance
A willingness to learn, and constantly develop, share, and improve
Master’s or PhD degree in a quantitative field
Fundamental knowledge in applied statistics and mathematics: p-values, confidence intervals, regression, classification
At least 4 years of relevant work experience using data science models that impact a product or business
At least 2 years of team leadership experience
Familiar with SQL and R or C#

Principal Data Scientist Resume Examples & Samples

Expert SQL scripting required
Experience working with Hadoop, Pig/Hive, Spark, Mapreduce
Ability to drive projects
Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo
Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods

Principal Data Scientist Resume Examples & Samples

Develop and apply deep insights into the Minecraft Console, Mobile and PC businesses, spanning engagement, financials, and community health
Plan and build out our analysis processes and pipeline for the Minecraft Realms service
Apply machine learning and predictive modeling techniques across our product and business
Collaborate strongly with production, engineering and business teams to help make the right product decisions
Collaborate strongly with marketing and community teams to drive the right customer-engagement programs and measure their effectiveness
Empower every Minecraft team member to deeply understand player behavior, and turn that understanding into actionable insights with measurable improvements to the franchise
Promote a data-driven and experimental culture across the organization, including more self-service tools for the team
8+ years of machine learning, business intelligence, and quantitative analysis experience in a production environment, ideally in gaming and/or global-scale services
Strong practical experience programming, optimizing data pipelines, and building data products using petabyte-scale data sets in Hadoop-based architectures
Expert in all of the following languages: SQL, R, Python and relevant modules and packages per language
Focus on execution and driving actionable improvements to our products
Excellent analytical and problem solving skills, with hands-on experience applying it to big data and the ability to translate insights to executive level audiences
Track record and skill in visualization and simplification of complex results into presentable form
Deep knowledge of applied statistics, data-mining strategies and the ability to prototype solutions quickly
Experienced at influencing senior executives and product development teams through deep insights and strong collaboration
Outstanding verbal, visual and written communication skills
MS or PhD in Statistics, Computer Science or related advanced field

Principal Data Scientist Resume Examples & Samples

Design optimization algorithms, working with colleagues to develop and deploy software as required
Knowledge of visualization tools such as Tableau, d3.js, Shiny
Strong scripting skills in Bash and at least one analytic programming language (e.g. R or Python)
Experience in retail, ecommerce, or supply chain analytics

Principal Data Scientist Resume Examples & Samples

Set the Predix data science methodology and frameworks via standards and frameworks
Gather and analyze data, devise innovative data science solutions and build prototypes
Enable development of high-performance algorithms for solutions in scalable, product-ready code
Guide data science teams to develop, verify, and validate analytics leveraging the latest data science techniques
Contribute to the exploration and creation of new scientific understanding
Initiate and propose unique and promising modeling projects, develop new and innovative algorithms and technologies, pursuing patents where appropriate
Stay current on published state-of-the-art algorithms and competing technologies
Maintain world-class academic credentials through publications, presentations, external collaborations and service to the research community
Participate in academic conferences and publish research papers
PhD in Mathematics, Statistics, Machine Learning or a related field, with a previous major in Computer Science with minimum of 10 years of industry
Familiarity with Linux/Unix/Shell environments
Experience with end-to-end modeling projects, from research to solutions to analytic products
Excellent industrial track record of proposing, conducting and reporting results of original research, plus collaborative research with publications
Prior experience working at an industrial or IoT organization with industrial data
Experience leading data science teams
Knowledge of or experience with running applications on Cloud Foundry
Creates a trusting and cooperative environment fostering creativity and knowledge sharing. Demonstrated skill in critical thinking and problem

Principal Data Scientist Resume Examples & Samples

Perform exploratory analysis on Move’s wealth of data including consumer web and mobile behavior and North America’s most comprehensive and up-to-date listings and properties data set
Effectively partner with product management and the data product team to build new data driven features for personalization, targeting, recommendations, search, guided discovery, and market insights for a great consumer experience
Drive A/B, multivariate tests and design of experiments to facilitate testing of new product and design features, with focus on improving engagement, retention, and conversion
Mentor a team of data scientists on data exploration, machine learning and developing data-based products
Work with a sense of ownership and urgency, advocate for experimentation based, agile culture

Principal Data Scientist Resume Examples & Samples

Analytic thought leader with strong analytic, communication, and program management skills to lead management, development and integration of a portfolio of analytics that will form the intelligent engine of visually displayed insight to help health care professionals uncover fraud and other types of overpayments
Lead, develop, evaluate and present new techniques and methodologies to identify fraud and other forms of overpayments
Collaborate with other analytic teams to create analytic development projects that will be deployed through Optum end user tools for fraud and overpayment detection
Translate the results of the new methodologies into requirements for tool developers to include in end user applications
Create and provide sound statistical analyses and develop predictive models using structured and unstructured data, and frame business scenarios that are meaningful and which impact our critical business processes and / or decisions
Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, etc., identify appropriate analytic and statistical methodology, develop predictive models and document process and results
Communicate analytic results and predictive models to business partners and clients
Provide on - going tracking and monitoring of performance of analytic applications and recommend ongoing improvements to methods and algorithms that lead to findings, including new information
Recommend ongoing improvements to methods and algorithms that lead to findings, including new information
Masters or Ph.D. degree in computer science, (bio) statistics, applied statistics, mathematics, machine learning or similar quantitative fields of study
5+ years of experience of hands - on predictive modeling skills and strong analytic programming skills using either SAS and / or R
5+ years of experience manipulating large datasets and using databases using SQL and / or SAS
Self - motivated, capable to grasp analytical concepts and clearly understand how analytical solutions can help customers reduce their healthcare claim costs
SAS / BASE, SAS / STAT, SAS Enterprise Guide and SAS Text Miner
Experience with health care claims data
3 years program management skills

Senior Principal Data Scientist Resume Examples & Samples

Master in engineering discipline with 10+ years of relevant experience or PhD in engineering discipline with 7+ years’ experience in data science and engineering research
Experience with machine learning algorithm development and validation of medical device and sensor data
Experience with programming, database tools, and data & signal processing
Experience in mobile medical devices, big-data and predictive analytics
Experience with managing research projects and providing technical mentorship
Experience in statistical analytics and machine learning for data derived from medical devices
Experience in interfacing with external partners and vendors
Effective decision making skills -- experience negotiating and balancing decisions and priorities across needs of several functional departments and willingness to make tough decisions. Makes timely decisions in the face of risk and uncertainty
Advanced Degree
Demonstrated leadership in academia or corporate research in data analytics via the execution of major strategies or numerous publications
Strong analytical, statistical analysis, machine learning, big-data, predictive analytics, hypothesis testing and problem solving skills
Proficient in scripting languages like MATLAB, R, Python
Proficient in database and big-data systems like Oracle, SQL, DB2, MongoDB, Hadoop
Experience drafting and generating written documentation in the form of specifications, engineering reports, validation plans, and validation reports in a manner that conforms to internal design control requirements
Experience with latest big-data architecture, operating systems and tools for big-data analytics
Excellent communication skills and interpersonal/team effectiveness -- ability to succinctly and accurately communicate to various levels of management and employees
Strong initiative; results oriented; strong sense of urgency
Strong analytical, planning
Experience with working on multiple projects in a deadline driven environment
Up to 20% travel global

Principal Data Scientist Resume Examples & Samples

Experience of advanced analytics such as Predictive Modelling
Good SQL skills
Hadoop – HIVE or Pig
Self-starter willing to explore, research, experiment and innovate

Principal Data Scientist Resume Examples & Samples

Identify, define and manage key business and technical metrics to produce a data-driven view of our Cloud system
MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields
Solid foundation in applied mathematics, including machine learning, statistical analysis and large scale computational technology
Strong foundation in data structures, computational algorithms and software implementation
Solid computer programming training having mastered at least one of the following languages: C/C++, Java, Python, R, Matlab
Superior organizational, analytical, and critical thinking skills
Excellent quantitative, written, and oral communication skills
Ability to work effectively under pressure to meet critical deadlines
Smart, motivated, team-oriented, can-do attitude, seeking to make a valuable difference in our products and services

PI / Principal Data Scientist Resume Examples & Samples

Provide leadership for all aspects of projects, from proposal development to design, implementation, preliminary and final data analysis, and presentation of results
Maintain effective liaison with funding sources, collaborators from universities, and other government and commercial organizations
Present research findings at scientific conferences and in refereed journals
Serves in a leadership role in strategic planning, business development, and staff mentoring
PhD in computer science, statistics, applied mathematics, software engineering, physics, computational social science, or related quantitative discipline
A minimum of 10 years' of graduate experience
Demonstrated success in securing and managing funded research in any of these domains—health, energy, environment, food, agriculture, or computational social sciences
At least 5 years as a principal investigator (PI) or project director (PD) proficiency in application of data science techniques to solve scientific or business problems
Recent publication record

Principal Data Scientist Resume Examples & Samples

Through research and experience, help guide the direction of data science for Ariba
Mentor a team of data scientists and data engineers, and work with product managers and other engineering teams to deliver predictive models from concept to product
Determine the tracking necessary to enable analytics of our products and features by working closely with product and engineering partners
M.S. or Ph.D. in Statistics, Mathematics, Economics, Computer Science (data mining or machine learning focus), or another quantitative scientific field
10+ years of experience
Strong understanding of applied statistical concepts such as regression, time series analysis, machine learning (text analytics, segmentation, classification and clustering)
Hands-on experience building models and machine learning algorithms in Python, R, or similar language
Experience coding in Java, C, C++ or Scala is a plus
Knowledge of or experience working with big data (e.g., Hadoop) is a plus
Be an iterative and quick thinker – you deliver preliminary results fast and then iterate

Principal Data Scientist, Machine Learning Resume Examples & Samples

Help our efforts to improve the way we gather and prepare data for analysis to help make critical feature decisions
Apply statistical and machine learning techniques to identify new opportunities for action
Design new tools and processes to enable better data modeling, analysis, and experimentation
Lead and collaborate with experts from across the company to advance data science best practices
Background in Computer Science, Electrical Engineering, Statistics, Physics, Mathematics, Operations Research or equivalent technical field, with PhD or MS degree with 3+ years of machine learning experience in the industry
Solid knowledge of machine learning and data mining techniques (classifications, regressions, anomaly detection, clustering, recommenders)
Working experience in solving real world machine learning problems
Ability to formulate business requirements into machine learning problems, prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains
Software development skills in one or more high level languages (C/C++/Java), one or more scripting languages (Python/Perl/Shell)

Senior Principal Data Scientist Resume Examples & Samples

Work closely with our Head of Analytics, cyber security teams and product teams to develop modeling tools for insurers
Support the development of an industry leading catastrophe model, with scenarios that outline the impact on the companies, insurers and the global economy of cyber events
Use advanced modeling techniques to understand patterns within historical data
Has a good tool set (e.g., Access, Excel, R, SAS, Python, RDBMS, ClickView, Tableau, etc.)
Statistics, Scientific Method, Experimental design, & hypothesis testing
Statistical modeling, regression analysis, probabilistic modeling, stochastic modeling
Machine Learning, Propensity models, predictive models, text analytics
Communication skills with strong ability to tell the story and deliver key takeaways based on data and analysis

Principal Data Scientist, Sequencing Resume Examples & Samples

Implementing base calling and analysis algorithms in a custom Python pipeline. A good fraction of your time will be spent on collaborative software engineering development activities. Must enjoy this work as well as the algorithm development side
Enhancing a custom simulator platform and its associated data analysis pipeline
Application of statistical models to characterize stochastic behavior at the single molecule level
Collaborating with scientists from a diverse set of fields to advance kinetic parameter estimation code

Senior / Principal Data Scientist Resume Examples & Samples

Expertise in statistics, machine learning, data mining and software engineering to solve online advertising challenging problems: analyzing and modeling very large data sets (TBs to PBs) and building solutions in areas like real-time bidding, yield optimization, path prediction, geo-location and mobile user behavior modeling
Performs all data science lifecycle activities, including data cleansing, ETL, feature engineering, model development and performance evaluation
Collaborates with product, engineering and operations to understand the product and business requirements and factor them into models
Prototypes models and be able to demonstrate them to product or business team
Mentor junior data science team members
M.S. or Ph.D. in one of the following: Computer Science (with a focus on artificial intelligence, data mining, or machine learning), Mathematics, Statistics, or another quantitative scientific field
Proven ability to combine academic and empirical research to solve challenging data problems and put ideas into production
3+ years experience in building production machine learning or statistical models and systems on Big Data
Hands-on experience with supervised and unsupervised machine learning algorithms for regression, classification, and clustering; with a deep understanding how each algorithm works
Hands-on experience analyzing/modeling big data (TB-PB level)
Hands-on experience using structured and unstructured data, ideally in a HDFS-based store using some variation of MapReduce, Hive, Pig, or Spark a strong plus
Proficient in Python or R, experience with AWS/Spark a plus, production-level programming skills in Java, Scala or Python a strong plus
Experience in Ad Tech, Online Media or E-Commerce experience within the mobile world would be a strong plus
Have a passion to work on large-scale datasets (billions of records per day)
Are enthusiastic about turning your ideas into real products
Wants to be part of a dynamic highly motivated and collaborative team

Principal Data Scientist Resume Examples & Samples

1) Key responsibility includes working closely with multiple business leaders to ideate and discover customer problems and provide actionable decisions in a highly iterative delivery model
2) Work on fuzzy problem statements and iteratively refine the problem and deliver tangible and timely actionable solutions working with a team of Data scientists, Data Engineers, Implementation Architects and IT team
3) Engage closely with global team of Domain experts, Data scientists, Data Engineers & Product managers to create business impacting actionable insights in a multi-disciplinary environment
5) Develop, document, and transfer analytics dashboards, algorithms to Honeywell businesses technology groups to enable new product and service offerings
6) Mentor Junior Data scientists & data engineers, participate in review peers and help the team leadership and management in planning and execution activities
7) Keep a pulse on technology trends and competition and help the organization to hire and partner with best talent
8) Define strategic direction and drive platform initiatives
Bachelors degree in computer science, statistics and relevant fields, with 12-15+ years of hands-on relevant experience in delivering actionable Data Analytics deployed in production
Must have consistently delivered business impacting analytics in multiple domains
Experience working with large unfiltered data sets using distributed computing tools such as Spark, MapReduce, Hive, Pig
Excellent knowledge and experience of statistical analysis tools such as R
Excellent knowledge and experience in multi-structured data modeling and NoSQL technologies such as HBase and Cassandra
Very good experience in large scale development & deployment processes, tools and platform

Principal Data Scientist Resume Examples & Samples

Work closely with Subject Matter Experts to gain deep understanding of various business and operations related data sets
Participate in data science workouts to shape data science opportunities and identify opportunities to use data science to create customer value
Guide junior members to develop, verify, and validate analytics to address customer needs and opportunities
Investigate and apply data analytics and machine learning techniques to create data summaries, identify cause-effect analysis across disparate data sources, and create high-fidelity prediction models for various business KPIs
Guide and otherwise contribute to technical teams in development, deployment and application of applied analytics, predictive analytics and prescriptive analytics
Work with the engineering team to incorporate your analyses and solutions, including working with the visualization team to create intuitive UI and rich UX stories
Partner with data engineers on data quality assessment, data cleansing and data analytics efforts
Communicate methods, findings and hypotheses with stakeholders
M.S. in a “STEM” major (Science, Technology, Engineering, Mathematics)
Experience with analytics development for industrial applications in a commercial/industrial setting
Hands-on experience in doing data analytics for large and varied data sets, including time-series sensor stream data
Proven experience in using well-established supervised and unsupervised machine learning methods for large industry-strength data analysis problems
Full awareness of industry best practices for data quality assessment and transformations, feature engineering, and model fit evaluations
Demonstrated expertise in one or more development tools and languages (e.g., SciPy, Python)
System Engineering and API based integration experience for large production systems
Experience in Prior experience with frameworks and language such as Apache Spark, Apache Storm, Scala, R, SAS, and MATLAB
Demonstrated expertise in translating customer need into data and analytics requirements
Demonstrated expertise in delivering professional services

Principal Data Scientist Resume Examples & Samples

Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple predictive detection engines in Advanced Analytics Labs
Lead discovery processes with Sr. Data Scientists and Data Scientists and partner with Payment Integrity Operation management to identify the business requirements and the expected outcome
Create and provide sound statistical analyses and frame business scenarios that are meaningful and which impact on critical business processes and / or decisions
Communicate analytics results and predictive models to business partners and clients
Recommends ongoing improvements to methods and algorithms that lead to findings, including new information
Enterprise Miner
Experience with Python, Hadoop (MapReduce, PIG, Hive, Spark) or R
Experience with health care claims data and Payment Integrity processes
UI design experience for automated and-or end-user-interactive visualizations, displays or reports based on the models’ outcomes (for example using Tableau)

Principal Data Scientist Resume Examples & Samples

Novel algorithm design and development for complex genetic datasets
Development and automation of statistical analysis tools
Experimental design input for research as well as clinical studies
Working with senior R&D members on assay design
Assistance with development and evaluation of data pipeline
Frequent interaction with members from the development team
Keeping company officers well informed of progress, problems and opportunities, and
Such other matters as may be determined by yourself and the Company

Principal Data Scientist / Software Developer Resume Examples & Samples

Design, develop, enhance, and troubleshoot database analytics software product
Design and implement novel analytic features not limited to standard data mining technology
Bridge and incorporate analytic capability between R and database
Work with QA to define test plans and write 1st level feature tests
Transfer of knowledge and expertise to other team professionals within the organization
5+ years’ experience as a Software Developer with design and implementation experience
4+ years’ experience coding in C and/or C++ and Scripting including SQL, R, Python, Shell, Bash or related
4+ years’ professional level experience with Analytics and/or Database product development on large scale data sets
Knowledgeable in Market Analytics Products including Oracle data mining, SAS, SPSS, RapidMiner and/or KNIME
Bachelor’s Degree in Computer Science, Engineering, Mathematics, Statistics or related course of study

Principal Data Scientist Resume Examples & Samples

Create and provide sound statistical analyses and frame business scenarios that are meaningful and which impact on critical business processes and/or decisions
Master's degree or Ph.D. in (bio) statistics, applied statistics, applied mathematics, economics, or similar quantitative fields of study
7+ years of experience of hands-on modeling skills and strong analytic programming skills using SAS tools, including SAS/BASE, SAS/STAT, and SAS Enterprise Guide
7+ years of experience manipulating large datasets and using databases
Demonstrable ability to quickly understand new concepts-all the way down to the theorems - and to come out with original solutions to mathematical issues

Principal Data Scientist Resume Examples & Samples

Help design and build the next iteration of process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making
Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs
Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling
Function as a predictive modeling or application team lead on Core Map projects
MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization
Minimum of 8 years related, professional experience
Programming experience with SQL, shell script, Python, etc
Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis
Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques
Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions
Experience in software development life cycle including coding standards, code reviews, continuous integration, testing, deployment and operational support, particularly of predictive analytics products

Principal Data Scientist Resume Examples & Samples

Master's or Ph.D. degree in computer science, (bio) statistics, applied statistics, mathematics, machine learning or similar quantitative fields of study
Experience with health care claims data with working knowledge and understanding of medical coding, including ICD, CPT, DRG, etc
Experience with payment integrity modeling such as fraud detection, credit risk scoring, etc
3+ years program management skills

Principal Data Scientist Resume Examples & Samples

Own the strategic planning and research initiatives involved with inventory planning, economic modeling, risk modeling and process improvement and sizing up opportunities from new initiatives. Build prototypes to demonstrate the benefits from proposed changes to the decision systems and operational processes
Effectively communicate with senior management
10 + years’ experience working with real world supply chain problems
PhD in Operations Research, Statistics, Applied Mathematics, Computer Science, Industrial Engineering, or related area
Rich experience to analyze large-scale data by writing SQL queries and scripts (Python, Perl, Ruby, etc.) and the strong ability to conduct statistical analysis, modeling, and prediction
Gathering requirements from business users, translating to functional requirements, and coordinating work between technical and business teams
Business knowledge to be able to make trade-offs between profitability and relevance
Knowledge in the following: theories of optimization including linear programming, mixed-integer programming and network modeling
Publications (or acceptance) in refereed academic journals and invited presentations at preeminent technical conferences in the field
Experience communicating with both technical and business people. Ability to speak at a level appropriate for the audience. Experience applying these skills in both academic teaching environment and a business setting is a plus
Demonstrate ability in delivering business value by implementing the optimization models while integrating with IT systems
Experience designing and implementing optimization models for inventory, network design and other characteristics of supply-chain (e.g., staff scheduling, vehicle routing, and facility location). Experience with leveraging such models to provide guidance for strategic and tactical business decision making
Experience implementing models and analysis tools through the use of high-level modeling languages (e.g. R, Matlab)
Experience prototyping and developing software in traditional programming languages (C++/ Java/ Python/Perl ) a plus
Proficient with SQL and experience with very large-scale data. The ability to manipulate data by writing scripts (Perl, Ruby etc.)

Principal, Data Scientist Resume Examples & Samples

Develop data mining, machine learning, statistical and graph-based algorithms designed to analyze massive data sets for business insights and partner with the data engineering team to ensure proper implementation and usage of algorithms
Generally requires 11+ years related experience
Ability to explain complex statistical problems and solutions to laymen
Has a good understanding of overall business, including financial acumen, ability to convert complex data into insights and action plans, demonstrated in-depth understanding of predictive modeling life cycle and architects projects through implementation
Advanced level proficiency with statistical modeling techniques such as regression, decision trees, neural networks, support vector machines, clustering techniques
Advanced skills in developing statistical targeting models using at least 2 of the following tools-SAS, R, KNIME, SPSS, Python, RapidMiner, Weka, MATLAB, Statistica, KXEN, Bayesia, etc
Expert working within enterprise data warehouse environments platforms (Teradata, Netezza, Oracle, etc.) and working within distributed computing platforms such as Hadoop and associated technologies such as SQL, HQL, MapReduce, Spark, Storm, Yarn, Kafka, Sqoop and Hive
Expert in at least 1 programming language such as Python, Scala, Julia, Java, C++, etc

Senior Principal Data Scientist Resume Examples & Samples

Define and lead a bold agenda around the use of data in new creative ways and develop the architectures and tools that allow data scientists to reduce it to common practice
Lead, influence, and mentor data scientists and software engineers within a cross-functional environment
Work with multiple, complex data sources at large scale
Influence big data and machine learning efforts to build predictive models and identify new data sources/patterns that add significant signal to predictive modeling capabilities
Communicate and champion strategic, long-range, and capital proposal and usage plans with high-level management in IT, finance, business-line, and strategy functions
Utilize your strong business acumen, intuition, and presentation skills to keep key stakeholders well informed of progress and milestones

Principal Data Scientist Resume Examples & Samples

8 years of experience in data science including proficiency in experiment design and statistical reasoning
Experience with machine learning, deep learning, anomaly detection, predictive analysis, text analysis, exploratory data analysis, and other areas of data science
Experience performing data analysis including applying statistics
Proficiency in Scope, SQL, C++, C#, .NET, Azure, Hadoop, Spark, Impala
Proficiency using tools like Python, R, MATLAB, AMPL, SAS, and similar
Degree in Computer Science, Advanced Mathematics, or similar field
Experience with product and service telemetry systems
Good working understanding of privacy and ethical concerns around customer data usage and governance
Strong communications skills, in particular written research results and effective presentations

Principal Data Scientist Resume Examples & Samples

5 + years of experience in statistics and signal processing
5 + years of expertise or experience in object-oriented, analytical programming (e.g., R, Python)
5 + years of experience with SQL, ODBC query logic or equivalent
5 + years of experience with machine learning algorithms

Principal Data Scientist Resume Examples & Samples

3+ years of experience in developing and implementing analytical models in business
Strong familiarity and hands-on experience with SQL and statistical software packages (e.g., R, SAS or SPSS)
Coding skills (for personal use) in a general-purpose programming language (e.g., C/C++, Java or Python)
Proficiency in engaging and influencing large teams and functional leaders

Principal Data Scientist Resume Examples & Samples

Successfully develop, conceptualize and test various statistical and machine learning models
Integrate the outcomes as real time analytics to elevate Accenture’s ability to create value for clients in areas and through means not immediately apparent to clients
Minimum 3 years of experience in statistical software - , SAS, C, C++, Java , Python

Principal Data Scientist Resume Examples & Samples

At least 3 years of relevant data science experience including statistical analysis and visualization
Proficiency in modeling skill set including machine learning algorithms, deep learning, anomaly detection, time series, pattern detection, clustering techniques, dimension reduction, etc
Experience in Statistical Analytics tools such as R, SAS and/or SPSS
Experience in Data Visualization tools like Tableau and QlikSense
Expertise in handling structured and unstructured data
Experience in SQL and databases
Ability to efficiently interact with cross functional teams with strong communication and collaboration skill

Principal Data Scientist Resume Examples & Samples

Develops appropriate and innovative customer experience metrics and reporting tools
Builds and validates predictive models using a wide variety of statistical and machine learning methods and algorithms
Provides automated and ad-hoc analysis of experiments
Identifies strategic information needs of internal clients and translates these into data requirements and reports
Assesses and validates reliability of source data and business systems used to develop performance metrics
Prepares recommendations and conclusions based on data summaries and communicates this information in a credible, convincing and timely manner
Explores existing data for insights and recommends additional sources of data for improvements
Solid understanding of statistics and the design and analysis of experiments
Solid skills in a statistical language such as SAS or R
The ability to tell a story about data, in particular with visualization
Strong written, communication and presentation skills. Able to respond and present work to peers, answer in-depth questions, accept constructive feedback, and modify work product accordingly
Specific Big Data experience on cloud computing platforms with technologies such as Hadoop, Mahout, Pig, Hive and Spark a plus

Principal Data Scientist Resume Examples & Samples

Excellent understanding of ML, NLP and statistical methodologies
Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation
Experience with search engines, classification algorithms, recommendation systems and relevance evaluation methodologies a plus

Principal Data Scientist Resume Examples & Samples

Engage with Teradata Account teams and Teradata customers to analyse and understand customer requirements
Frame the problem that the customer is attempting to solve, specify an analytical solution to the problem and establish, in conjunction with the other members of the Sales and Professional Services Consulting Team, that it is feasible to solve this problem with the right technology
Take the lead in using the solution to drive business benefit for the customer and in quantifying the benefits of the solution and articulating these to the customer
The Data Scientist will work closely with the Teradata Professional Services Consulting Team to identify how the data should be stored and accessed for deriving business value
Document the analytical use-cases - and the benefits that were realized - and share this expert knowledge with the wider, global Teradata team, to enable similar solutions to be deployed more widely
Support the Accoount Teams with demand generation and technical marketing, as required, for example presenting at industry seminars
Demonstrate a solid understanding of advanced analytics, Data Mining, Statistics, Mathematical Modelling , Behavioural Economics or Machine Learning
Have several years’ hands-on experience in the exploitation of data and the use of advanced statistical and modelling techniques to understand and improve business performance in at least one major industry vertical
Demonstrate excellent organizational, people- and project-management skills
Be business savvy and have advanced business knowledge of at least one major industry vertical. Have a creative approach to problem solving
Have the ability to apply sophisticated analytical models and solutions to real-world business situations
Have business strategy skills to build the solutions necessary to ask the right questions and find the right answers
Demonstrate a keen interest in, and fair understanding of, “big data” technology and the business trends that are driving the adoption of this technology
Be proficient in the use of both written and spoken business English to “speak the business language” with the ability to visualize data
Possess excellent analytical and creative problem-solving skills
Some knowledge of data warehousing and data management, including business intelligence (BI) and SQL
Willingness to be a team player
Expertise in finding and accessing rich data sources
Acumen at working with large volumes of data independent of hardware, software and bandwidth constraints
Knowledge of how to solve problems by melding multiple data sets together

Principal Data Scientist Resume Examples & Samples

Understand customer business use cases and translate them to analytical data applications and models with a vision on how to implement a solution
Leverage knowledge in analytics, machine learning and statistical analysis to help customers explore methods to analyze data to make better business decisions
Utilize Teradata Aster in combination with other analytics/statistical tools to deliver innovative analytic solutions to our customers
At least holds a Master’s degree in Computer Science, Applied Physics, Applied Mathematics or Statistics
Doctorate degree is preferred
7 years’ experience in data driven field (e.g. BI, DWH, Analytics etc.)
Minimum of 4 year experience in the predictive modeling, statistical computing, machine learning or natural language processing (NLP)
Experience in statistical modeling, machine learning, natural language processing
Experience in R or Python using scikit-learn, statsmodels, NumPy and SciPy libraries
Experience in writing SQL
Experience in Spark MLlib or Mahout a big plus
Experience in using tools like SAS, SPSS, or STATA
Ability to work independently to manager large group of resources
Customer oriented and solution driven with focus on business outcome
Must demonstrate the ability to articulate complex technical concepts to non-technical people
Organized and detail oriented
Proactive, Innovative with an analytical mindset
Be able to work under pressure in a challenging environment
Fluency in English language. Additional language knowledge is a plus
Ability to travel frequently and over extended periods
Ability to work within multiple time zones and diverse cultures
Clear communicator across all levels from college hires to Teradata managers to client executives

Principal Data Scientist Resume Examples & Samples

10 or more years of Data Analysis experience related to health care data that is progressively complex
Demonstrates advanced in-depth specialization in mathematical analysis methods, machine learning, statistical analyses, and predictive modeling
8+ years of Open Source Technology experience
Comprehensive knowledge on health care industry, products, systems, business strategies and products
Expertise in innovating and implementing novel machine learning techniques
Superior skills to effectively communicate and negotiate across the business and external health care environment
Superior ability to communicate technical ideas and results to non-technical clients in written and verbal form
Good business acumen practice. Able to communicate with Key Stake Holders

Principal Data Scientist Resume Examples & Samples

10+ years of Data Analytics experience. Preferred experience with Healthcare Data
4+ years of Product/ Project Management experience
Expert Level with R and/or Python. Able to manipulate large data sets and develop statistical models
Solid knowledge of Hadoop environment and ability to interact with large datasets using tools such as; HIVE or PIG
Exceptional core Project Management skills. Experience in Agile Methodologies and processes
Proven ability to build relationships internally and externally, able to interface at all levels and possessing a team-oriented attitude
Excellent business acumen
Excellent communication skills both written and verbal. Able to tell accurate, compelling stories with data and visualization tools
Demonstrated ability to influence cross-functional groups and to drive decisions
Demonstrated extensive and diverse knowledge of customer engagement metrics, health care data, systems and standards; demonstrated subject matter expert in multiple subject areas
Able to communicate statistical and technical ideas and results to non-technical clients in written and verbal form
Expert knowledge of segmentation, targeting, predictive modeling, multivariate analyses/optimization, and behavioral economics

Principal Data Scientist Resume Examples & Samples

Develop new product concepts and implementation, deliver product prototypes
Research and design new models by employing your mathematical knowledge, problem solving skills, familiarity with machine learning libraries
Design, develop, integrate, test, and deploy company's software
Build scalable, highly reliable, and super-fast globally distributed services
Build a software stack that scales from on-premises software to deployments in secure environments to large multi-tenant systems
Execute product specification, system design, development and system integration
Provide technical support to product management, product marketing, services, customer and business support on customer activities
Some travel (up to 10%) may be required
MS in Computer Science or a related major
PhD in a highly quantitative area is a plus
8+ years of experience in data analysis and software development
Experience building large scale production services from the ground up
Top notch programming skills. Focus on C++, C#, Python
Hands-on experience with time series analysis, predictive modeling, machine learning algorithms, data mining
Familiarity with big data and cloud technologies paradigms
Good understanding of data structures, modern coding standards, RESTful technology
Experience with hands-on mentoring and technical leadership of teams
Excellent interpersonal, communication, writing, and presentation skills

Senior / Principal Data Scientist Resume Examples & Samples

6 or more year’s experience in data products with expertise in one or more of the following: recommender systems, classification algorithms, data mining, outcomes research
PHD. in Computer Science, Statistics, Physics or a related technical field
Adept at full stack feature prototyping: back end infrastructure, large scale algorithms, and front end experiences
Skilled at creating and transferring production worthy code
Expert at querying SQL and NoSQL database
Motivated, independent, efficient and able to handle several projects

Principal Data Scientist Resume Examples & Samples

Ph.D. a plus
Demonstrated skill in data management methods and analytic scaling
Demonstrated skill in solutions integration
Knowledge of Business Intelligence tools such as QlikView, Sisense, Looker, Pentaho, Microstrategy, or Tableau
Demonstrated and externally recognized expertise in data science technology and industry trends. Hands-on experience in doing data analytics for large and varied data sets, including time-series sensor stream data
Demonstrated expertise in translating customer need into data and analytics requirement
Demonstrated expertise in technical and/or business consulting
Demonstrated expertise in critical thinking and problem solving methods
Demonstrated expertise in influencing, presentation and communications skill

Principal Data Scientist Resume Examples & Samples

Master’s or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, Data Science, or Operations Research)
10+ years of related experience
Prior work and/or research demonstrates experience in the following areas

Principal Data Scientist Resume Examples & Samples

Working closely with engineering, product management and the executive staff to understand the use cases for predictive analytics and propose feasible solutions
Proposing and implementing the data flow architecture for machine learning by collaborating with the core engineering team
Showcasing the problem and the solution thereof via rich and interactive visualizations of data
Being a champion of a data-centric approach to problems within the company

Principal Data Scientist Resume Examples & Samples

Experience in statistical modelling and/or machine learning
Experience in applying data science methods to business problems
Programming experience in at least 2 of the following language: R, Python, Scala, SQL
Educated to an MSc or PhD level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics
Strong presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
Team leadership, mentoring and project management skills
Proven application of advanced analytical and statistical
Knowledge of distributed computing or NoSQL technologies is a bonus

Principal Data Scientist Resume Examples & Samples

Pitching ideas, proposals and developing client relationships
Clearly and confidently present complex analytical results in a clear and simple manner to key stakeholders and clients
Conceptualise and develop new analytical algorithms and products using various statistical methods
Build and deliver analytical solutions by analysing large and complex data sets using multiple technologies (R, SAS, SQL, IBM Big Insights, Cloud Services, Netezza DBMS, Hadoop)
Visualise and deliver analytical results in insightful, interesting and interactive ways using various technologies (Excel, Powerpoint, Qlikview, R, HMTL, Javascript, Tableau, other)
Proactively investigate and discover new techniques, technologies and data sources to enhance BT Big Data capabilities
Drive BT Big Data product strategy
Share knowledge and develop skills of other Data Scientists
Machine learning and predictive analytics skills/experience
Experience programming in R and Python at least
Experience in creating technical analytical solutions from clients requirements
Experience in location, movement or behaviour analytics
Ability to communicate complex solutions to non technical audience, and to interact at senior management level

Principal Data Scientist Resume Examples & Samples

Perform analysis and develop analytical models to maximize SEM revenue growth
A results-oriented person who thrives on data and measurement
Ability to extract actionable recommendations from imperfect data of formidable size
Proficiency with a statistical programming environment (e.g. R, Python)
Proficiency in data manipulation, cleansing and interpretation
Close familiarity with SQL and Big Data technologies (e.g. Hive, Spark, etc.)
10 years of data science experience
Strong problem solving skills with a pragmatic approach to addressing challenges
Ability to work well with many types of people across multiple global offices
Experience with online auctions, A/B testing, digital advertising, or marketing analytics is a plus
This role will be a combination of individual projects as well as owning “a piece of the pie”

Principal Data Scientist Resume Examples & Samples

Data Science team leader to design, develop and implement new analytics techniques and execute on big data projects through partnership with Engineering & IT teams
Engage in cross-functional, big data analytics projects for the head components group, leveraging statistical, machine learning and/or visual analytics capabilities, to accelerate data to action lifecycle in large scale production environment
Establish scalable, efficient, automated processes for data collection, model development and validation (machine learning), and implementation with diverse, large product testing data outputs
Lead effort on establishing Data Science best practices and advanced analytics training for the broader engineering community
M.S. or Ph.D. in a relevant technical field (Computer Science, Statistics, Applied Math, etc.), or 8+ years’ experience in an Applied Analytics or Data Science role
Strong knowledge of data mining algorithms, predictive modelling, machine learning, and other computational methods
Comfortable with retrieving, manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources, including but not limited to, MPP DBs, Hadoop (and associated tools), RDBMS, and flat files
Experience in working with large structured and unstructured data sets; experience working with Hadoop/YARN environment a plus Extensive experience with statistical analysis software e.g. JMP, SAS, Python, Matlab, SPSS
Ability to independently execute large projects with multiple stakeholders
Experience with complex problem solving, critical thinking and decision making
Background in HDD Storage or Semiconductor Manufacturing environment is a strong plus!
Operations Research experience is a plus!
Experience in Lean Startup Methodology, Agile and/or Design Thinking is a plus!

Principal Data Scientist Resume Examples & Samples

Leading analytical initiatives from inception, technical design, development, testing and delivery of business intelligence solutions
Business Requirements
Working with the business stakeholders to identify business problems and propose data-driven solutions
Quickly piloting analytical initiatives to prove/disprove theories and define requirements
Working in iterative processes with the business to validate and refine findings
Data Modeling (Design and Develop)
Analyzing large, noisy datasets and identify meaningful patterns that provide actionable business results
Identifying what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as geo-location information or social media
Working with business subject matter experts to select the relevant sources of information. Evaluating the data sources on multiple criteria including cost
Deep understanding of analytical methods and their applicability to business problems
Developing algorithms and predictive models to solve critical business problems
Developing and automating new enhanced imputation algorithms
Creating informative visualizations that intuitively display large amounts of data and/or complex relationships
Suggesting ongoing improvements to methods and algorithms that lead to findings, including new information
Validating findings using experimental design approaches and by comparing appropriate samples
Researching tools, frameworks and mechanisms for data analytics
Providing input to the development of information quality metrics
Coaching/Mentoring
Act as change agent to the organization to influence optimal model and analytic usage
Providing guidance, training, and problem solving assistance to other team members
Mentoring less-experienced individuals
Advanced Degree in Computer Science, Mathematics, Statistics, Actuarial Science, Engineering or related field or equivalent work experience
Extensive related technical/business experience
Strong experience with analytical software and technology (such as SAS, R, RapidMiner, Tableau, etc.)
Effectively collaborate with people within a project teams
Ability to communicate to large groups
Demonstrated experience translating complex and technical subject matter
Ability to work in conditions, which include multiple and sometime conflicting priorities

Principal Data Scientist Resume Examples & Samples

Your forecasts will drive major decisions such as short and medium term capacity planning and long term major asset acquisition for Microsoft’s cloud infrastructure
You will be collaborating closely with Engineering, Product Managers, Operations Managers, Capacity Planning, and Finance to develop and explain your models, and their results
You will be actively working with other data scientists, forecasters and data engineers, interacting with stakeholders, collecting their requirements, planning and managing to deliver to their needs
Your responsibilities will include performing analyses on data to identify trends, patterns, correlations, and providing insights from data to stakeholders. It will be essential for you to develop a good understanding of Microsoft’s cloud operations, problems and challenges, and provide insights and guidance to stakeholders through your modeling and analysis work
You will be expected to identify and leverage all relevant external and internal data sources (e.g. sales, datacenter and network telemetry, web search data, sales and marketing intelligence data, global and industry-specific macroeconomic data), stay attuned to new techniques in statistics and machine learning, and bring them into our practice
The successful candidate is expected to have a graduate degree (preferably Ph.D.) in Statistics, Operations Research, Computer Science or Engineering. A Master’s degree with a substantial industry experience in developing and delivering forecasting models is also acceptable
10+ years of work experience in quantitative forecasting with hands-on knowledge of statistical software tools - preferably savvy in R
Solid educational background and experience in developing statistical models such as time series, multiple regression, logistics regression, nonlinear regression using real data and supporting real business decisions
Familiarity with machine learning techniques, neural networks, supervised and unsupervised learning is a plus
Demonstrated ability to manage end-to-end model development including identifying and testing alternative models, gathering data from various sources, knowledge of publicly available data sources, familiarity with typical corporate data management systems and tools such as SQL
Must be able to communicate comfortably and work collaboratively with engineers, finance, product managers, and stake holders in cloud operations
A self-directed individual with a relentless drive to employ statistical models for developing insights about long term trends for Microsoft’s global portfolio of on-line services and its cloud network
Must possess the ability to prioritize assignments and work within a matrix team environment
Experience in datacenter workload and/or network traffic forecasting for IT or other networks is a plus

Principal Data Scientist Resume Examples & Samples

8 or more years complex data analytics experience in a healthcare environment
Technical background with modeling and programming
Predictive modeling experience, data analytics, machine learning, and big data technologies such as Python, R, and Hadoop
Demonstrated ability to coach more junior colleagues
Experience in healthcare industry is a plus

Principal Data Scientist Resume Examples & Samples

Design and develop key metrics to measure product quality, business growth, loan performance, credit risk and investment returns
Partner with various business functions( operations, finance, credit, etc.) to formulate and define challenges, solve problems, and identify opportunities
Build data science models to understand the market, make credit decisions, optimize ROI, improve customer experience and engagement, and define product strategy
Present data science insights to business decision makers and suggest action items
Collaborate with engineers to implement data science models into production
8+ years in Data Science—leveraging large data environment, programmatic techniques and analytic methods to solve complex business problems
Advanced degree in mathematics, statistics, operation research, computer science or other quantitative fields
Comprehensive knowledge in statistics and machine learning
Hands on/advanced experience with SQL, Stat packages (SAS, R, etc), and common data processing/programming languages (Python)
Ability to explain data science insights to people with and without quantitative background
Ability to contribute independently, as well as collaborate in a team

Principal Data Scientist Resume Examples & Samples

Lead a core team of data scientists to design and develop models to make Palo Alto Networks a predictive enterprise
The Senior Data Scientist will work closely with engineers, analysts, product managers, both internal and external stakeholders, owning a large part of solution delivery
Analyze variety of data: structured and unstructured, observational and experimental, with the goal of influencing system designs and implementations
Innovate by developing new predictive models to help guide business strategy
Develop statistical modeling techniques for pattern recognition problems
Develop code for modeling optimization, simulation, and statistical analysis
Build models that maximize performance and accuracy
Proficiency with common data science toolkits, such as R (tidyr, dplyr, sparklyr, SparkR), Python (PyData stack (Pandas), NumPy and PySpark), and Scala
Experience with distributed machine learning systems such as Spark MLlib
Experience with NoSQL databases, such as Cassandra, HBase
Experience delivering solutions using an Agile development process
Advanced degree in engineering, machine learning, operation research, statistics, applied mathematics, game theory, or an equivalent technical field
5-8+ years of industry experience using statistical/machine learning solutions to solve real-world problems and building scalable machine learning systems
Experience working with and deploying large scale models
An ability to balance a sense of urgency with shipping high quality and pragmatic solutions
Extensive experience building data products working with cross functional teams

Principal Data Scientist Resume Examples & Samples

SQL and related data extraction skills for extracting and processing big and small data
Knowledge of statistical and data science programming skills, including SAS, R, and Python
Knowledge of most of the following quantitative fields: Machine Learning & Artificial Intelligence, Advanced Statistical Analysis & Modeling, Causal Inference & Program Evaluation, Text Mining & Natural Language Processing, Econometric Time Series Analysis, Behavioral Economics, Design of Experiment, Mathematical Programming, Multi-Objective Optimization, Decision Theory, Stochastic Optimization, Heuristic Algorithms, Reinforcement Learning, Monte Carlo Simulation, Speech Analytics, Bayesian Statistics, and Network Science
Exploratory data analysis, data visualization, and statistical graphics
Experience in Big Data technologies such as Hadoop, Spark, MapReduce or related Massively Parallel Processing (MPP) technologies
Knowledge of business fields, social sciences, or health sciences a plus, such as Marketing, Finance, Economics, Survey Research, Accounting, Psychology, Management, Epidemiology, Bioinformatics, Health Economics, and Health Policy & Management

Principal Data Scientist Resume Examples & Samples

Advanced degrees in Computer Science, Math, Statistics, Economics, Astrophysics or other quantitative field; Masters or PhD strongly preferred
At least 10 + years of experience working with some or all of the following: probability, statistics, data mining, predictive modeling, experimental design, computational analytics, econometric modeling
5+ years of experience managing Data Scientists and/or Analysts
Experience designing, architecting and/or building environments and libraries to facilitate the production of data science and analytics
Fluency in SQL
Fluency in some or all of the following: R, Python, Spark (Or equivalent)
An ability to work independently to get an idea from inception to implementation, including knowledge of techniques for validation and A/B testing
Experience building deep relationships and the ability to integrate with their stakeholders
Comfort working effectively in a fast-paced environment with changing priorities
Comfort collaborating effectively across departments: engineers, product managers, analysts, business, and marketing functions
A strong business acumen with a customer-first focus in their approach to data science
A scrappy, action-driven ability to work autonomously
Highly developed skills in data visualization
Comfort with Hadoop

Principal Data Scientist Resume Examples & Samples

Masters and Bachelors with significant practical experience
7+ years of Java, Python or C++
Degrees in computer science, statistics, or related fields
Strong academic work and professional experience in statistics, machine learning including deep learning, econometrics, text processing required
Excellent development skills in one of Java, Python, C++ required
Experience in building cloud-scale systems and experience working with Open source stacks for data processing and data science strongly recommended
Excellent communication skills, ability to present and write reports, strong team work preferred

Principal Data Scientist Resume Examples & Samples

Conduct data discovery and exploration
Partner with different business areas to identify key questions that can be answered with data and advanced analytics, leveraging unstructured, noisy and big data where appropriate
Formulate the analytical approach and data required to answer the questions identified
Go through all phases required to deliver the analytical solution, from data exploration, cleansing or feature creation to building models and creating compelling visualisations
Present results to business areas and iterate in short cycles
Inform the technology strategy for Aberdeen´s data lab (technologies, tools and architecture)
Identify new datasets to be captured
Spearhead innovation in the application of data and analytics to asset management
Lead and develop an internal team of data scientists
Identify learning and training opportunities and formats for the wider data & analytics team
Facilitating a virtual, cross-functional community of analytics professionals across all areas of Aberdeen
Supervised and unsupervised machine learning methods
Geo-spatial analysis
Graph analysis
Analysis of web and search data
Open data
Hadoop ecosystem
Python, Scala, R, .Net, SQL, Matlab
Cloud environments (Azure, AWS, BigQuery)
Visualisation and data discovery tools and frameworks (D3, Shiny, Tableau...)
Delivering analytics to production, working in inter-disciplinary software engineering teams and following agile methodologies
Leading and developing other data scientists
Collaborating in geographically and organisationally distributed teams
Effectively presenting results to different types of audiences, technical and non-technical

Principal Data Scientist Resume Examples & Samples

Partner with GE Software Engagement Managers to shape Statements of Work for Data Science opportunities and GE Software Solutions
Guide junior Data Scientists to develop, verify, and validate analytics to address customer needs and opportunities
Guide and otherwise contribute to technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
Ph.D. in Engineering/Sciences discipline plus 10 years analytics development for industrial applications in a commercial/industrial setting
Demonstrated expertise in one or more development tools and languages (e.g., R, Python, Spark)
Demonstrated expertise in one or more industry sectors where GE operates (i.e., Aviation, Oil & Gas, Power, Transportation, Mining, Healthcare)
Demonstrated expertise in influencing, presentation and communications skills
Demonstrated expertise in delivering business value in ambiguous environments

Principal Data Scientist Resume Examples & Samples

Being one of the stewards for a key business metric across O365 Working as part of a results-oriented, data-driven team that embraces experimentation
Collaborating with engineers, program managers and partner teams to develop insights from our signals
Building lasting models for analyzing and understanding sat data
7 years of experience with machine learning

Principal Data Scientist Resume Examples & Samples

Motivates team members and probes into technical details, and mentors others to do the same
Provides thought leadership and direction for analytic solutions, tools and studies
Anticipates and solves strategic and high risk business problems with broad impact on the business area by applying leading-edge theories and techniques to investigate problems, detect patterns and recommend solutions
Provides guidance to develop enterprise-wide analytics strategy and roadmap
Interacts with internal and external peers and management to share highly complex information/solutions related to areas of expertise and/or to gain acceptance of new or enhanced technology/ business solutions
8 - 10+ years of progressively complex related experience
Advanced in-depth specialization in mathematical analysis methods, predictive modeling, statistical analyses, machine learning, and big data technologies such as Python, R, and Hadoop
Comprehensive knowledge on health care industry, products, systems, business strategies and products and experience in healthcare industry is preferred

Principal Data Scientist Resume Examples & Samples

Recommend the design, develop, and implement Big Data platforms using a Cloud architecture
Collaborate on the development and execution of new and highly complex algorithms and statistical predictive models to evaluate potential future outcomes
Perform machine learning and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods
Build recommendation engines, sentiment analyzers and classifiers for unstructured and semi-structured data
Design rich data visualizations to communicate complex ideas to customers or company leaders
Utilize state-of-the-art methods for data mining
Extend IVZ data with third party sources of information, as required
Process, cleanse, and verify the integrity of data used for analysis
2+ years of experience with machine learning
3+ years of experience with SQL
Extensive predictive analytics experience with Python
Experience with data visualization tools
Experience with big data technologies such as Hadoop, R, and Java / MapReduce
DevOps knowledge is a plus
Enjoy challenging and thought provoking work and have a strong desire to learn and progress
Must demonstrate a positive, team-focused attitude
Structured, disciplined approach to work, with attention to detail
Flexible – able to meet changing requirements and priorities
Maintenance of up-to-date knowledge in the appropriate technical areas
Able to work in a global, multicultural environment

Principal Data Scientist Resume Examples & Samples

Participate in data science workouts to shape image/video
Guide and otherwise contribute to technical teams in
PhD Degree in Computer Science or in “STEM” Majors (Science,
Mission critical systems experience is preferred
Experience developing applications in an agile/DevOps

Principal Data Scientist Resume Examples & Samples

Degree in Computer Science, Electrical Engineering, Applied Mathematics, Statistics , Physics or equivalent is preferred
Experience working with large data stores and distributed computing, and some experience in building software *Solid foundation in applied mathematics, such as: statistics, linear algebra, optimization
Strong foundation in data structures and algorithms design, big-O analysis
Experience in software development (C/C++, Java, Scala etc.)
Working knowledge about AdTech

Principal Data Scientist Resume Examples & Samples

Perform hands-on data analysis and modeling with huge data sets
Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders
BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research)
5+ years experience with data science
Expertise in modern advanced analytical tools and programming languages such as R or Python with scikit-learn
Fluent in SQL, Hive, SparkSQL, etc
Expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, sequential pattern discovery, and text mining
Apache Spark and the Hadoop ecosystem

Principal Data Scientist Resume Examples & Samples

Leading the application of machine learning and predictive modeling techniques with partners to solve business problems
Driving creation of content in OSS and Microsoft big data technologies in support of developer events and architecture design sessions
Developing new ways of thinking across groups within the division to improve quality, data science productivity, and responsiveness to feedback and changing priorities
Expert in R and/or Python, experience with Scikit-learn a plus
Experienced in application development practices and version control systems
A deep understanding of cloud computing technologies, and emerging trends
Exceptional decision making skills, conflict resolution, and follow through with ISV partners
10+ years’ experience with any of the following: Real-world experience with machine learning algorithms for classification, regression, clustering, reinforcement learning or dimensionality reduction with expertise one or more application domains of NLP, image processing, time series analysis

Principal Data Scientist Resume Examples & Samples

Master's or PhD degree in Statistics, Machine Learning, Computer Science or related field and relevant working experience creating production level ML pipelines
Demonstrated prowess in applied machine learning
Experience building, testing and deploying data-driven software applications
Proficiency in Python and a strong software development background

Principal Data Scientist Resume Examples & Samples

Proven experience in technologies such as Cognitive Computing and general knowledge of Machine Learning
Deep Learning Models: Convolutional, Recurrent Networks, regularization and optimization for training deep models. Deep Learning Research: Neural Language Models, esp. for the contexts of text disambiguation and categorization
The candidate must be able to independently run analytic projects and help our internal and clients understand the findings and translate them into action to drive their business
Work independently or manage a virtual team that will research innovative solutions to challenging business problems
Collaborate with partners, apply critical thinking skills, and drive analytic projects end-to-end
Prior consulting experience is a definite plus
85% of the time driving multiple analytic projects with high complexity, strategic value, and executive visibility
15% of the time sharing best practices and growing the culture of data driven decision making in Microsoft
Must be willing to do some travel

Principal Data Scientist Resume Examples & Samples

Assisting in statistical debugging, core algorithm implementation and automated offline experimentation
Data wrangling and framing aspects of new applications of the decision service
Drive end-to-end projects by utilizing, applying and analyzing data associated business problems
Working closely with Microsoft engineering and research teams to influence the future product roadmap
Work directly with application teams/partners (internal clients such as Data Group, Azure, Windows, Office 365) to understand their offerings/domain and make them successful with the Decision Service so they can leverage these technologies
Apply data analysis, data mining and data engineering to present data clearly and develop experiments
Ensuring high-quality data and understanding how data is generated by experimental design and how these experiments can produce actionable, trustworthy conclusions
MS or PhD in Computer Science, Economics, Statistics, Operations Research or equivalent technical field
8+ years of real-world experience with machine learning algorithms
Experience with explore/exploit tradeoffs and reinforcement learning approaches
Experience with multiple learning frameworks is desirable with Vowpal Wabbit a plus
Experience in applying, implementing, and/or developing algorithms for machine learning, artificial intelligence, or statistics
Experience with a general-purpose programming language (C, C#, C++)
Experience with application development practices and version control systems (GIT, VSO)
Experience with data processing systems such as Cosmos, Hadoop, or Spark
Experience in building web services and Azure technologies
Excellent communication skills and the desire to collaborate in a multi-disciplinary team

Principal Data Scientist Resume Examples & Samples

Be a part of the Product team that is defining the Cognitive-first Application Development platform and help drive adoption of machine learning technologies as a part of that team
Build and apply data science recipes for large scale solutions for solving problems in predictive maintenance for Industrial IoT
Interact with clients to understand requirements, implement and present results
7+ years of data science and machine learning experience with at least 4 years in working directly with clients or business users for delivering data science solutions to business problems
Programming experience in Scala / Java is highly preferred. Python is good as well
Experience with Spark ML is desired
Ability to understand business requirements and translate them into technology solutions
Entrepreneurial and Agile - understands the demands of a working on a platform
Low ego, pragmatic and down to earth orientation
Very good written as well as verbal communication skills
Strong organizational, multi-tasking and time management skills

Principal Data Scientist Resume Examples & Samples

Build and execute analytics and reporting across platforms to identify user behavior and analyze trends, patterns, and shifts in revenue and consumer behavior, both independently and in collaboration with divisions and data analytics resources
Develop best practices for configuring analytics technology, for analyzing product shifts and consumer behavior on multiple platforms, and for collecting and interpreting data from multiple sources
Identifies and acts upon opportunities for continuous improvement
Synthesizes facts, theories, trends, inferences, and key issues and/or themes in complex and variable situations
Recognizes abstract patterns and relationships between apparently unrelated entities or situations
Applies appropriate concepts and theories in the development of principles, practices, techniques, tools and solutions
Gathers and analyzes information or data on current and future trends of best practice
Seeks information on issues that affect the progress of organizational and process issues
Translates up to date information into continuous improvement activities that enhance performance
Present and communicate data insights in an effective and efficient manner to the decision makers
10+ years experience in Information Technology
6+ years experience in mathematical, machine learning techniques and algorithms,
6+ years experience with data science toolkits, such as R
5+ Experience with data visualization tools, such as D3.js, GGplot, etc
3+ years experience in using query languages such as SQL, Hive, Pig
Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
Comfortable working both as part of a team, and independently
You have an ability to communicate technical results to a wide variety of audiences
You are able to develop experimental data models/ designs to help answer unforeseen questions that will influence decision-making in a rapidly changing business environment
You are able to think and communicate strategically while delivering tactically
You can conceive of innovative approaches to analytics

Principal Data Scientist Resume Examples & Samples

Frame the problem that the customer is attempting to solve, specify an analytical solution to the problem and establish, in conjunction with the other members of the Sales and Consulting Services Team, that it is feasible to solve this problem with the right technology
Take the lead in using the solution to drive business benefit for the customer, quantify the benefits of the solution and articulate these to the customer
The Data Scientist will work closely with the Teradata Consulting Services Team to identify how the data should be stored and accessed for deriving business value
Support the Account Teams with demand generation and technical marketing, as required, for example presenting at industry seminars
Demonstrate a solid understanding of Advanced Analytics, Data Mining, Statistics, Mathematical Modelling , Behavioural Economics and/or Machine Learning
Demonstrate excellent organizational, people and project management skills
Be a clear, confident and persuasive communicator, with excellent presentation skills and the ability to structure a coherent, logical argument and the confidence to defend assumptions, projections and recommendations
Demonstrate a keen interest in, and fair understanding of, “big data” technology and the business trends that are driving the adoption of technology

Principal Data Scientist Resume Examples & Samples

MS/PhD in Operations Research/Statistics/Computer Science or a related technical discipline
You should have at least seven years’ experience ideally in a Risk or Fraud environment
Extensive Experience with R, SAS, SPSS, data mining, machine learning, statistical modeling tools and underlying algorithms
Programming experience in one of the languages like Python/Ruby/Perl/Shell/C/Java
Working knowledge of Relational Data Base Systems and SQL
Attitude to thrive in a fun, dynamic start-up environment with stellar team of fellow data geeks

Principal Data Scientist Resume Examples & Samples

A thought leader to identify right problems to solve for our customers
You will design and implement state of the art Machine Learning approaches
Work as a tech lead and define the roadmap for yourself and co-workers
Develop end-to-end ownership of major customer facing technologies
Stay up-to-date with the state of the art techniques of Machine Learning, Information Retrieval and NLP Push the boundaries of Machine Learning to benefit internal and external community
A brand ambassador for @WalmartLabs
PhD in computer science or similar field with 5+ years of experience
Highly proficient in Python or Java
Extremely hands on in building Machine Learning products
Experience in building data products and crunching terabytes of data
A good portfolio of machine learning projects with a significant impact on the bottom line
Experience in working as a tech lead
Blog posts, papers or conference talks showing your involvement in the community
Additional Preferred Qualifications
Familiarity with Deep Learning
Contributions to open source ML projects

Principal Data Scientist Resume Examples & Samples

Develop advanced machine learning, data mining and data fusion algorithms and apply them to intelligent devices, solutions and services for electrical, mechanical and hydraulic power systems
Identify and validate the commercialization prospect of new data science technologies by working closely with marketing and product engineering team
Leads complex global technology realization programs/projects involving multiple stakeholders external to Eaton utilizing our internal project execution processes, including Gate Reviews, Design Reviews, and Technical Reviews. (external partners include universities, National Labs, government entities, manufacturing partners, etc.)
Project leads are the single point of contact for the entire project. Responsible for creating, executing and tracking all the milestones for the entire project. Assigns roles and responsibilities for the project team members
Program leads are responsible for setting the strategy for an entire program that can encompass multiple projects. Responsible to assign project leads and technical leads for all program activities. The single point of contact to upper management for all program activities
Complexity at this level includes multiyear projects and multi-million dollar projects
Understand program/project risks and is able to influence key stakeholders to make pivot/persevere decisions
Influences, resolves and communicates major changes in projects or programs to cross functional teams across all levels in the company
Leads the development of and owns global strategies for technology roadmaps for broad applications that are linked to and supportive of the overall CRT and business strategies
Influences the business strategy and associated product roadmaps as a result of technical expertise and reputation as trusted advisor
Leads ideation events (Innovation Summits, Design Bursts, etc.)
Serves as Principal Investigator in government proposal preparation and/or project execution of large projects and those considered white space for Eaton
Master’s degree in Electrical Engineering, Computer Science or Statistics from an accredited institution
Minimum of 10 years of industry experience
10 years of advanced machine learning and data mining technologies with applications in one of the following areas: prognostics and health management, predictive and statistical modeling, self-learning and adaptive systems
10 years of domain knowledge in at least one of the following areas: electrical grid and power systems, data center and commercial buildings, intelligent and connected vehicles, intelligent lighting systems
Deep technology depth and breadth in advanced machine learning, data mining and data fusion techniques such as deep learning, boosting, random forest, SVM and etc
Expertise in software development using one or more high level languages (e.g. C#/C/C++/Java) and rapid prototyping platforms (MATLAB/SIMULINK)
Expertise with common machine learning programming tools (e.g. R/Python/Spark)
Knowledge and experience with big data platforms including MS Azure and Cloudera/ORAAH
Proven track record for IP generation and publications in reputable peer-reviewed journals
Proven track record in leading new technology or product introduction projects to success with multiple stakeholders in matrix organizations and strong program management skills. Experience in building production grade machine learning enabled solutions end to end is a plus

Principal Data Scientist Resume Examples & Samples

Modeling and mining large data sets using open source technologies such as Programing Language - R, Hadoop, Apache, Spartk etc
Software development experience with Java, JSN, Python, XML etc
Creating and deploying large-scale, data driven systems
Different data mining techniques - associations, correlations, evidence, inference etc
Creation/deployment of models and algorithms to analyze unstructured data
Data Science, data engineering, statistics, modeling, operations research, computer science and applications or mathematics. Innovative experimental design and measurement methodologies
Innovating modeling, machine learning and similar approaches
Automatically find and interpret data rich sources, merge data together, ensure data consistency, and provide insights as a service. Designing and deploying user interfaces that interact naturally with people
Consulting, client engagement, design and presentation skills

Principal Data Scientist Resume Examples & Samples

Master’s degree or PhD in quantitative field such as mathematics, statistics, or engineering/technology with an emphasis on statistical analysis; or applicable experience
Expertise in predictive analytics/statistical modeling/data mining/deep learning/machine learning algorithms and techniques (clustering, regression, multivariate testing, classification)
Strong passion for understanding key business problems, bringing together the team to deliver end-to-end analyses by asking the right questions, extracting data, and building predictive models to ensure actionable results
Experience with large scale distributed databases and computing systems like Hadoop and Spark
Past engineering experience developing and shipping enterprise software or business solutions highly preferred

Principal Data Scientist Resume Examples & Samples

Brutally honest and direct – diplomatically so
Design and develop right analytical solutions from a diverse repertoire of analytical techniques
Possess in depth understanding of various machine learning and predictive modeling algorithms
Ability to apply solutions platform-independent (traditional vs. Big Data)
Have the guts (and also enjoy) to challenge status quo and conventional thinking
Feeling deeply accountable of the success and growth of next generation data scientist who work shoulder to shoulder with you
Excellent presentation skills OUT! Need genuine and authentic communication skills, and the ability to effectively delivering crisp messages
Gain in-depth understanding of Humana’s data assets
Gain in-depth understanding of Humana’s Big Data capabilities, and assess what infrastructure enhancements need to be done to empower broader Data Scientist community to leverage Big Data technologies in a low-effort way
Work hands-on on assigned Data Science project(s)
Establish strong connections with business leaders
Confidently push and pull leaders and the organization to get to where we should be
Bachelors and Advanced degree in quantitative field, computer science, applied mathematics, statistics or related field
4+ years of Predictive Analytics experience (inclusive of academic experience)
Familiarity with open source machine learning libraries
2+ year of professional experience with big data technologies like Hadoop, Hive, Spark, H2o and others
2+ years of experience mentoring junior-level Associates on team
Some programming experience with Scala (or any functional programming language) and Apache Spark or similar big data frameworks

Principal Data Scientist Resume Examples & Samples

Bachelor’s, Master’s or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, Data Science, or Operations Research)
8+ years of related work and/or research experience in quantitative roles
2+ years of experience managing quantitative teams
In-depth knowledge in at least 2 of the following data science domains

Principal Data Scientist Resume Examples & Samples

Lead discovery processes with Senior Data Scientists and Data Scientists and partner with Payment Integrity Operation management to identify the business requirements and the expected outcome
Master's or Ph.D. degree in (bio) statistics, applied statistics, applied mathematics, economics, or similar quantitative fields of study
7+ years of experience of hands-on modeling skills and strong analytic programming skills using SAS tools, including SAS/BASE, SAS/STAT, and SAS Enterprise Guide and/or R
Knowledge of ensemble modeling, ANN, SVM, Random Forests, SOMs
Demonstrable ability to quickly understand new concepts - all the way down to the theorems - and to come out with original solutions to mathematical issues
Behavioral Health
Experience with Python, Hadoop (MapReduce, PIG, Hive, Spark), R, H2O, or equivalent

Principal Data Scientist Resume Examples & Samples

Apply statistics, clustering, and modeling to complex business problems
Partner with Data & Analytics leadership to provide actionable insight to improve our product
Champion a data-driven culture and increase long-term business value creation through development of best-in-class data science capabilities
4+ years of industry experience
Proven track record of completing multiple data science projects end to end, from idea generation to objectives formulation to implementation and deliverables
Proficiency in both Python and R
Excellent project management skills, with a proven track record of on-time and within-budget delivery
Exceptional ability to manage priorities across multiple stakeholders
An interest in genealogy always helps!

Principal Data Scientist Resume Examples & Samples

Create personalized recommendation models that affect all of our core product flows
Develop/extend machine-learning algorithms customized to our domain
Propose and build user segmentation models that give the company insight into our customers
Work closely with machine learning engineers to productionalize models

Senior Principal Data Scientist Resume Examples & Samples

Lead the team of data scientists specializing in a range of statistical, natural language processing, and machine learning techniques
Continuously monitor scientific research and industry competitors and recommend new techniques
Work with the software development team on building highly scalable, machine learning applications processing large volumes of data
Partner with customers to understand and clarify requirements to creatively solve complex business problems with analytic solutions
Recruit, hire, and mentor extraordinary data scientists

Principal Data Scientist Resume Examples & Samples

Identify and integrate disparate data sources, both internal and external, including raw data from medical researchers, unstructured data from clinical experts, and well-established, publically-available databases
Develop and deploy machine learning algorithms, predictive models, and classification methods to advance cancer research and inform clinical decision making
Deliver novel, data-driven insights to improve outcomes in the treatment of cancer
Identify areas of growth for the data science initiative and actively engage in enhancing the breadth and reach of data science across the Fred Hutch campus
Collaborate with researchers and clinicians to identify high-impact opportunities for data science applications
Manage data science projects from creation to completion
Communicate results to technical and non-technical audiences
Masters or PhD degree in Bioinformatics, Statistics, Biostatistics, Mathematics, Computer Science, Physics, or equivalent required, with a minimum of two years of related experience
Core competency in at least one of the following: genomics, natural language, image processing, medical records or claims
Experience with messy, “real life” data sets
Proficiency in R or Python
Knowledge of statistical analysis, machine learning and predictive modeling
A variety of data formats and markup languages (e.g. XML, JSON, RMarkdown)
Common data storage mediums (e.g. SQL, Excel, Access) as well as NoSQL models
Unix/Linux and distributed computing
Version control (e.g.., Git)
Visualization software: Shiny, Javascript, D3
Big data platforms: Hadoop, Hive, and/or MapReduce
Code version control (Git, Github) and containers (Docker)
Proficiency in at least one common object oriented programming language (e.g. Java, C++, C#)
Experience in application development, visualization, and user design

Principal Data Scientist Resume Examples & Samples

7+ years of experience of hands-on modeling skills and strong analytic programming skills using SAS tools, including SAS/BASE and SAS Enterprise Guide
Demonstrated proficiency with SAS, R, Python and free format SQL coding
Demonstrable ability to quickly understand new concepts-all the way down to the theorems- and to come out with original solutions to mathematical issues
Text Mining and Natural Language Processing (NLP) experience

Principal Data Scientist Resume Examples & Samples

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or an Engineering Discipline
Extensive knowledge and experience in areas like data mining, machine learning, statistical analysis, and information retrieval
Strong theory/algorithm background and a very good understanding on how to apply advanced knowledge to solve real-world problems
Experience/knowledge with various data analysis tools, data mining tools, and statistical packages. Experience with R, Python, Azure ML, Cosmos, TLC, SQL is a plus. Prior experience building forecasting models is desirable

100

Principal Data Scientist Resume Examples & Samples

Advanced Experience with programming scripts such as Python, Scala, SAS, Matlab, and R in a Linux environment
Experience using exploratory data analysis methodology in creating and implementing machine learning algorithms and advanced statistics such as: regression, clustering, decision trees, markov chains, monte carlo, kalman filters, scenario analysis and neural networks
Experience in analyzing data from web and mobile application with data providers such as Google Analytics, Adobe Analytics, IBM Digital Analytics, Salesforce Analytics, Adwords and Facebook Insights
Experience with cloud services including AWS, Azure, Google Cloud Platform and Bluemix. Ability to collect data using XML and REST APIs
Experience with SQL querying and knowledge of PostgreSQL, MySQL, MSSQL databases
Experience in visualizing data to stakeholders in a simple and concise manner through visualization software such as Tableau, Domo, ggplot, D3, Qlikview, Leaflet, etc
Experience with distributed source control, Git or Mercurial
Experience with graph databases and algorithms
Experience producing analytics using MapReduce, Pig, SQL, or SparkSQL

101

Principal Data Scientist Resume Examples & Samples

Data Scientist, 2-3 years
Programming experience in Python
Working experience with Sci-Kit Learn and/or Tensorflow

102

Senior Principal Data Scientist Resume Examples & Samples

Ph.D. degree in Statistics, Mathematics, or Computer Science with Machine Learning emphasis, or in Electrical Engineering with quantitative analysis background
Machine Learning Engineer,5 -7 years
Strong understanding and background in probability theory, random process, statistics, and optimization techniques
Strong expertise in Machine Learning algorithms

103

Principal Data Scientist Resume Examples & Samples

Apply out of the box but advanced algorithms to complex problems in real time systems and deliver concise, insightful analysis that can quickly be put to operational use
Work closely with Data Engineering and product management to turn data analysis into actionable algorithms, applications, etc
Execute large scale models using Logistic Regression, Linear Models Family (Poisson models, Survival models, Hierarchical models, Naïve-Bayesian estimators), Conjoint Analysis, Spatial models, Time-series models
Analyze large data sets comprising of e-commerce data (clickstream, order data, tracking data, competitive price changes, currency fluctuations) and optimize business goals
10+ years of work experience or 6+ years with graduate or PhD of exceptional data mining, statistical analysis and/or coding
Must be highly experienced with data cleanups, data wrangling, data transformation, etc
Must be good in feature engineering, anomaly handling, model development, model tune-ups
Hands-on experience coding in Python, R or other advanced programming languages is required for this role, as is experience working with large datasets using SQL. Big data modeling work with Hadoop, Hive, Impala, Pig, Scala, Spark and Zeppelin or Jupyter is desired. Experience with Experience with Java, PHP, Perl and/or Unix is an advantage
Proven production analytical solutions in domains of Ecommerce, Shipping/Logistics and P

104

Principal Data Scientist Resume Examples & Samples

Master of Science in Mathematics, Computer Science, Statistics, Analytics or equivalent
Proficiency with at least two of the following languages: Python, Java, Scala, R, SQL
Solid knowledge and experience with a scientific computing platform (e.g. scikit learn, Weka, MLlib)
Hands-on experience working with common DBMS (SQL, NoSQL), as well as distributed application platforms (Hadoop)
Strong knowledge of statistical data analysis and machine learning techniques (e.g. Baysian Analysis, regression, classification, clustering, time series, deep learning)
A strong voice for data integrity and reporting quality utilizing best-practices and industry standards
Excellent critical thinking, problem solving and analytical skills
Solid communication skills demonstrated ability to explain complex technical issues to both technical and non-technical audience
Experience mentoring/leading other data scientists
Driver’s License
Experienced in automotive, hands-on experience with visualization tools like SPSS or Tableau

105

Principal Data Scientist Resume Examples & Samples

Understand and implement Natural Language Understanding systems that translate natural languages to SQL and other internal APIs/declarative languages
Design and implement algorithms/heuristics for complex optimization problems that are capable of being high performance as data scales
Frame Complex Business Problems into well-defined and crisp computing problems that are solvable
Participate in sprints and design, develop, test and deploy code as part of a CI/CD environment
Deeply understand how to tradeoff performance and quality of output when required

106

Principal Data Scientist Resume Examples & Samples

Experience managing software teams
Experience managing client relationships
Experience mentoring and training
Proven expert at software development
Experience building complex and non-interactive systems (batch, distributed, etc.)
Adept at learning and applying new technologies
Ability to analyze data
Data integration
Strong team player capable of working in a demand start-up environment
Generating data profiles including measures of central tendency, measures of deviation, and correlations in R, Python or other "non-big-data" technologies. Generation of basic charts (e.g. histograms, scatter plots, line charts) for data analysis purposes
Generating data profiles including measures of central tendency, measures of deviation, and correlations over Hadoop & Spark or other approved big-data technology. Generation of basic charts (e.g. histograms, scatter plots, line charts) for data analysis purposes
Design, develop and implement dashboards & reports using R-Shiny, Ipython Notebooks, Zeppelin or other approved open-source visualization technology
Design, develop and implement dashboards & reports using Qlik Sense and Tableau on top of the Dashboard Engine or leveraging another Big Data API such as Spark Livy or another approved API
Calculating and interpreting ANOVA models, ANCOVA models, hypothesis tests, and confidence intervals
Creating and interpreting at least one type of each of these statistical models: GLM, CART, ensembles
Creating and interpreting one of these models: k-means, hierarchical agglomerative clustering, or approved other clustering model
Able to write technical reports for projects and/or internal collateral for training or internal assets
Able to write non-technical documents that describe our offer (or solutions) for non-technical audience. This can include a delivery presentation for non-technical audience, a conference presentation or marketing material
Able to deliver presentations during client meetings, conferences or sales events to explain our offers, positioning, solutions to technical and non-technical audience
Defining tasks required to complete project goals; estimating efforts and timelines
Delegating and managing activities through completion; tracking progress; and updating plans where needed
Successfully completed an analytics agenda including activities captured in Descriptive Statistics, Exploratory Visualizations, and at least 2 activities from Basic Modeling
Successfully completed client projects tasks requiring at least 3 skills listed in Advanced Modeling
Successfully completed client projects tasks requiring at least 3 skills listed in Specialized or Domain Modeling
Successfully worked with Think Big engineering teams to bring a data science solution into a production or other approved setting
Successfully worked in 3+ projects in the same group of industries, as defined by Think Big
Successfully worked in 3+ projects in the same Think Big solution (e.g. PAM)

107

Principal Data Scientist Resume Examples & Samples

5 years of industry work experience
Knowledge in various analytical programming languages: R, SQL, Python
Data hacking skills

108

Principal Data Scientist Resume Examples & Samples

8+ years of experience working in a digital marketing analytics function with departmental responsibilities
Excellent strategic thinking capabilities with ability to derive insight and recommendations from data
Knowledge of and proficiency with digital marketing channels

109

Principal Data Scientist Resume Examples & Samples

Conduct and document exploratory data analysis of potential source datasets
Conduct literature searches on current techniques in data mining, machine learning, and threat detection
Formulate, build, test, and document proofs-of-concept for new techniques in threat detection
Consult with and/or assist in software engineering for proven techniques, including design, development, and efficacy testing
Provide periodic efficacy measurement, analysis, and reporting for deployed techniques
Ph.D. or Masters and 5+ years experience in Computer Science, Math, Statistics, or related quantitative discipline
Demonstrated, extensive experience in machine learning and data mining
Strong fundamentals in applied statistics and probability
Facility with current big data tools, including Apache Spark and HBase
Strong programming skills in Java and Python, or Scala
Experience formulating and driving applied research projects from proof-of-concept through implementation
Strong understanding of security, including threat propagation and malware analysis
Experience in applying big-data techniques to security, specifically in anomaly detection, pattern recognition, behavior-based analysis, and correlation
Experience in stream data processing (Apache Storm ideal)
Related experience in genomics, high-speed trading, or other domains involving pattern recognition or behavior-based analysis
A deep understanding of computer systems, networks, protocols, and information security concepts

110

Principal Data Scientist Resume Examples & Samples

Ph.D. in computer science or similar field with 3+ yrs of related exp or MS with 5+ years of related experience
Deep knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field
Good functional coding skills in C++, Java, Scala in addition to good knowledge of one of the scripting languages such as Python or Perl
Experience working with large data sets and distributed computing tools a plus (Map/Reduce, Hadoop, Hive, Spark etc.)
Superior ability to analyze and interpret the results of product experiments
Proven experience working with statistical languages such as R
Strong communication skills both written and verbal
Knowledge of Spark, Scikit-learn, Problem solving, Willing to learn new technologies
Self-starter, Quick learner, Keen observer, eye for detail and someone who relishes challenges
Strong research and publication record

111

Think Big Principal Data Scientist Resume Examples & Samples

Subject Matter Expert for Deep Learning based Speech/NLP domain
Hands on leadership, consulting and support for Speech/NLP projects
Ability to present complex analytical and technical concepts to a business audience
Ability to evaluate and differentiate techniques, tools and approaches to Speech/NLP problems
Building Speech/NLP solutions with tools such as PyTorch, TensorFlow, MXNet et al
Experience with large scale language model training and deployment
Ability to give both technical and sales presentations
Communicating past experiences in sales and speaking opportunities

112

Principal Data Scientist Resume Examples & Samples

Lead the process of translating technical objectives into defined problems that can be solved by applying data science
Design algorithms to address current technical problems
Lead work closely with data analysts in the team to apply advanced analytics, modelling and simulation to replicate and anticipate issues
Identify and uncover new technical problems that need to be solved and support better decision
Communicate data analysis and insights using rich visualization tools (Tableau/MicroStrategy) and leverage data to present compelling cases to optimize solutions
Perform exploratory data analysis, generate and test working hypothesis, and uncover important trends and relationships
Provide expertise on mathematical concepts and inspire adoption of advanced analytics
Exceptional working experience with relational databases, information and insights, advanced analytical skillset
Experience managing the design, development and implementation of an information system, managing large data sets of multiple sources
Proven experience with modelling software, data mining techniques and methodologies
Experience with visualization software (Tableau, MicroStrategy). Develop new insights, dashboards and data tools, and cascade them
Experience leveraging cloud platforms and developing in SQL
Good understanding on technical data processes, key drivers, and system knowledge
Superior critical thinking, analytical and problem-solving skills
Passionate, creative and forward thinking individual
Capture Info/Assess/Make Recommendation. Capture information, assess it and make recommendations to Company management (e.g., senior technical management) or give the KO system information about emerging business opportunities, technology capabilities or scientific breakthroughs to offer solutions to technical problems and/or affect the Company's strategic direction
Gather/Org Info to Support Senior Mgmt. Decision. Gather and organize information to support senior management's decision-making during a crisis situation
Performance Data Audit to Ensure Accuracy. Perform data audit in order to ensure accuracy of data and analytical processes. This may include database queries, statistical process control or correlation study
Query Technical Governance Systems/Compile Reports. Query Technical Governance Systems and compile reports in response to ad hoc management requests or arrange for Global IT to run more complex queries
Review Data for Completeness/Consistency. Review data for completeness and consistency in formula and/or regulatory databases, tracking systems, supplier documentation, etc
Report/Analyze/Interpret Data. Report, analyze or interpret technical governance data in order to communicate information on the quality of products and packages in manufacturing or the marketplace
Search External Databases. Search external and/or internal computerized databases in response to inquiries from scientists or to provide information to management or the field
Apply Basic Statistical Tests/Methods. Apply basic statistical tests and methods to data in order to support Company decision-making by ensuring validity and statistical relevance

113

Principal Data Scientist Resume Examples & Samples

Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data
A Masters/Phd Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience
10+ years of industry experience in predictive modeling, data science and analysis
Previous experience in a ML or data scientist role and a track record of building ML or DL models
Knowledge of SparkML
Knowledge and experience of writing and tuning SQL
Experience giving data presentations
PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)

114

Principal Data Scientist Resume Examples & Samples

Develop prototypes by manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
Work closely with Business, Product and Technology teams to model real-time experiments, implementations and new feature creations
Counsel/Advise partners/users on data capabilities and potential short-comings
Proficiency in Machine Learning related technologies (Python, Spark MLib, Spark/SparkR, Hadoop, etc.)
Strong business acumen and problem-solving skills
Ability to partner with executives, business stakeholders and product managers to define roadmaps and to translate business needs into machine learning solutions
Deep and applied experience leveraging data science and machine learning to solve business problems
Use machine learning, deep learning, reinforcement learning, statistical techniques to create scalable solutions
Experience with algorithm development, data processing, statistical analysis and validation
Proven track record of overseeing multiple data science and machine learning initiatives from idea generation to objectives formulation to implementation and delivery
Excellent communication, persuasion and data presentation skills
Advanced degree in CS Machine Learning, Statistics, or in a highly quantitative field
8+ years of hands-on experience in machine learning, preferably at an internet company
Prior experience building consumer focused data products

115

Principal Data Scientist Resume Examples & Samples

Act as a thought leader to identify right problems to solve for our customers
Design and implement state of the art Machine Learning approaches
Stay up-to-date with the state of the art techniques of Machine Learning, Information Retrieval and NLP
Push the boundaries of Machine Learning to benefit internal and external community
Be a brand ambassador for @WalmartLabs

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