Senior Data Scientist / Data Scientist Resume Samples
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Senior Data Scientist / Data Scientist Resume Samples
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ZZ
Z Zemlak
Zachery
Zemlak
518 Kunze Station
New York
NY
+1 (555) 122 0074
518 Kunze Station
New York
NY
Phone
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+1 (555) 122 0074
Experience
Experience
New York, NY
Senior Geospatial Data Scientist
New York, NY
Cremin-Abshire
New York, NY
Senior Geospatial Data Scientist
- Prepare and execute workflows and geoprocessing models using Python
- Prepare and execute workflows and geoprocessing models using ArcGIS ModelBuilder
- Prepare and execute queries in spatial and non-spatial databases using SQL
- Develop and maintain geospatial datasets including those stored in relational databases
- Create and maintain process automation related to data maintenance
- Create and maintain of web map applications published via ArcGIS On-Line Query, analyze and prepare statistics on spatial and non-spatial data within relational databases
- Provide geospatial support to internal and external teams with data development, data scrubbing and analysis, on-line and hardcopy map creation, setup of ETL processes, training, and setup of field data collection apps
Houston, TX
Senior Automation Data Scientist
Houston, TX
Stanton-Lowe
Houston, TX
Senior Automation Data Scientist
- Develops and builds alignment within Product Operations for frameworks/prototypes that integrate data and machine learning/predictive modeling to make business decisions
- Identifies and develops solutions that use new areas of data, research and models that can solve business problems
- Develops project plans for complex and occasionally highly complex development projects
- Manages data and data requests to improve the accuracy of our data and decisions made from data analysis
- Uses and learns a wide variety of tools and languages to achieve results (e.g., R, SAS, Python, Hadoop)
- Leads work on data and problems across departments to drive improved business efficiencies through designing, building, and partnering to automate models
- Communicates findings to ensure automated frameworks are well understood and incorporated into business processes
present
Philadelphia, PA
Senior Healthcare Data Scientist
Philadelphia, PA
Hammes-Gusikowski
present
Philadelphia, PA
Senior Healthcare Data Scientist
present
- Provides guidance and design input for implementing the population management data warehouse
- Understands, develops and directs the implementation of algorithms for performing predictions and prescriptions
- Provides guidance on the design and manages analytical reports & data from a variety of integrated clinical data sources
- Provides oversight to ensure the accuracy in the tie-out process of data sent to Beacon Health, LLC by external vendors. Includes interacting with data analytics staff, Information System staff and the external vendors to understand the business rules applied to the data extracts
- Researches and reviews benchmarking data for comparison, validation and scope. Identifies areas for greatest opportunity for intervention and improvement in population health
- Supervises and provides guidance to data analytics staff
- Creates written narrative summaries that outline project purpose, methodology, summary of findings, trends of interest, opportunities for intervention or consideration, changes or shifts in data elements from one time period to another, etc. to compliment many of the above reports, models and analytics
Education
Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
University of Cincinnati
Bachelor’s Degree in Computer Science
Skills
Skills
- Ability to think creatively and work collaboratively to address problems
- Ability to write and present reports and presentations
- Strong quantitative and analytic skills
- Ability to present solutions to multidisciplinary teams
- 5 years' experience in analysis of healthcare data and management of healthcare information systems
- Project management experiences
- Experience utilizing business intelligence, relational database, and data warehouse methodologies
- Displays willingness to make decisions; Exhibits sound and accurate judgment; Includes appropriate people in decision-making process; Makes timely decisions
15 Senior Data Scientist / Data Scientist resume templates
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1
Senior Business Intelligence Sme-data Scientist Resume Examples & Samples
- Works in cross-functional teams with data at all stages of the analysis lifecycle to derive actionable insight
- Performs the pre-analytics areas of data collection and understanding, data cleansing and integration, and data storage and retrieval
- Interprets the validity of results and communicates the meaning of those results
- Has familiarity with data wrangling, analytics, and visualization software and programming languages, including analytics methods for big data
- Follows a scientific approach to generate value from data, verifying results at each step
- Five years of technical experience implementing and deploying business intelligence, OLAP and decision support systems, as well as experience with data integration and RDBMS systems
- Should have in depth knowledge of system design as well as system analysis, business modeling and consulting methodologies
- Familiar with variety of technologies, particularly Business Intelligence, Database and Web
2
Senior Telematics Data Scientist Resume Examples & Samples
- Uses best practices to develop statistical, machine learning techniques to build models on telematics data that would handle a wide range of problems ranging from probabilistic inference on phone trajectories, data fusion between noisy sensors, and classification of driving behavior
- Work on data analysis and predictive modeling of sensor data collected from the car and mobile phones (GPS, accelerometer, gyroscope, etc.)
- Identify KPI’s generated from telematics sensor data
- Uses and learns a wide variety of tools and languages to achieve results (e.g., R, Python, Hadoop)
- Identifies languages and tools that can bring efficiencies or needed techniques to the team
- Collaborates the with team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling
- Understands the business’ problems to identify the optimal modeling approach
- Utilizes effective project planning techniques to break down moderately complex projects into tasks and ensure deadlines are kept
3
Senior Data Scientist M/f/x Enabler Resume Examples & Samples
- Work with business and technology stakeholders, subject matter experts, team leaders and other data scientists to extract more value from company's unique finance data set and serve clients
- Contribute to the design of fraud detection approaches mixing human knowledge and machine learning in compliance to the relevant performance trade-offs
- Support effective data management: contribute to specification of data requirements; create data pipelines; create logical/physical data models adapted to the needs of an analytical environment
- Produce evaluations of the quality of detection algorithms (fraud detection is an unsupervised problem!)
4
Senior Devops Data Scientist Resume Examples & Samples
- 8+ years of experience with development in Java, JavaScript, C#, C++, or other high-level languages
- Experience with build server, including Jenkins or Bamboo and infrastructure automation, including Puppet or Chef
- Knowledge of basic Linux and UNIX system administration
- Experience with developing in any of the popular languages to assist other developers with build automation
- Experience with Spring Model-View-Controller (MVC), Groovy, or Grails
- Knowledge of advanced system administration a plus
- BS degree in a related field preferred; MS degree in a related field a plus
5
Senior Devops Data Scientist Resume Examples & Samples
- Experience with build server, including Jenkins or Bamboo and infrastructure automation, such as Puppet or Chef
- Knowledge of Basic Linux and UNIX system administration
- TS/SCI clearance with polygraph
- MS degree in a related field a plus
6
Senior Operational Excellence Data Scientist Resume Examples & Samples
- Develop and interlock a set of business metrics, Key Performance Indicator (KPIs) and Key Results Indicator (KRIs)
- Gather and maintain the require data to track against these metrics
- Understand business problems, translate them into data science projects and provide solution approaches
- Analyze large volumes of data, find associations, correlation and develop metrics for optimizing KPI / KRI
- Recommend ways in which the business can apply data to business problems
- Inspire the adoption of advanced analytics and data science across different teams and functions
- A hands-on implementer, ready to learn new languages and technologies to turn ideas into solutions
- Extract insights and actionable recommendations from large volumes of data
- This candidate will also participate in the design and implementation phases for data projects to help translate the high level business requirements into the concrete technical implementations across Data Integration, Data Quality and Data Modeling
- English (fluent)
- Demonstrated business and analytics background
- Knowledge of Business Intelligence and Data Analytics tools
- Hands-on technology and leadership in Data Warehouse projects
- Experience in full life cycle Business Intelligence development, design, tuning and support
- Experience in effective translation of business objectives to system requirement
- Experience in Business Intelligence Architecture, including Big Data and Cloud Solutions
7
Senior Logistics Data Scientist Resume Examples & Samples
- Work with cross-functional partners across the business
- Mentor junior team members on effective data science techniques and approaches
- Ability to build complex data sets from multiple data sources, both internally
8
Senior Data Scientist Risk Models Resume Examples & Samples
- Work with large scale and complex traditional and non-traditional data sources to identify opportunities that enhance credit risk model performance. The Senior Data Scientist will explore and examine data from multiple sources to discover hidden insights within the data and to evaluate alternate methods for using this data in an agile fashion. These models are used to originate new loans, manage existing customer risk, manage collection treatment and forecast loan loss provisions
- Evaluate advancements in statistical analysis and model development methodologies and software. Work with internal and external partners on big data & advanced analytics initiatives. The Senior Data Scientist will review advancements in the industry and identify ways this learning could be used to transform current methodologies, tools and processes. The incumbent will use this knowledge to deploy innovative ideas that challenge existing assumptions and processes
- Ensure the data used for model development is reliable and robust and that it adheres to Bank and industry standards. The preparation and management of complex data is essential for ensuring model integrity. Strong understanding of business related characteristics, as well as proper handling of data anomalies and missing values are critical success factors
- Identify and recommend improvements that streamline, automate, and standardize data processes. Research best practices and propose innovations designed to enhance Risk Management’s ability to increase profitability and enhance customer experience. Build frameworks to test data used for risk models simultaneously
- Provide consultative support to Management, within and outside of Risk Management on initiatives pertaining to source data strengths/weaknesses
- Liaise with partners both internally as well as external vendors and data providers to review proposals and submit recommendations for acquiring new data sources
9
Senior Automation Data Scientist Resume Examples & Samples
- Develops and builds alignment within Product Operations for frameworks/prototypes that integrate data and machine learning/predictive modeling to make business decisions
- Identifies and develops solutions that use new areas of data, research and models that can solve business problems
- Develops project plans for complex and occasionally highly complex development projects
- Manages data and data requests to improve the accuracy of our data and decisions made from data analysis
- Leads work on data and problems across departments to drive improved business efficiencies through designing, building, and partnering to automate models
- Effectively understands the business problems and requirements to identify the optimal improvement in business efficiency using automation
- Communicates findings to ensure automated frameworks are well understood and incorporated into business processes
- Utilizes effective project planning techniques to break down complex and occasionally highly complex projects into tasks, manages scope of projects, and ensures deadlines are kept
- Works with stakeholders to ensure the project will meet their needs
- Identifies and develops data sources to solve business problems
- Manages various automation projects with small number of team members
- Reviews, evaluates, and makes recommendations on appropriateness of techniques to senior leadership
- Influences business partners and senior leadership on the effectiveness of automation to solve their business problems
- Trains, develops, and teaches more junior modelers
- The development and execution of a communication strategy that keeps all relevant stakeholders informed and provides an opportunity to influence the direction of the work
- Demonstrated experience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making
- Demonstrated experience in managing and manipulating large, complex datasets
- Demonstrated experience in working with statistical software such as SAS, SPSS, MatLab, R, CART, etc
- Functional pricing, rating plan design, and insurance regulation knowledge, with working knowledge of personal lines underwriting and product offerings preferred
- Understanding of the Insurance market place, economics and regulation preferred
- Proven ability to code and develop prototypes in languages such as Python, Perl, Java, C
- Proven knowledge of advanced modeling technique
- Proven knowledge and experience of the Hadoop ecosystem (Pyspark, Hive, Impala, HUE)
- Proven knowledge of software engineering and ability to work with tools such as Cron and Jenkins
10
Senior Princ Data Scientist Resume Examples & Samples
- Work closely with our Chief Actuary, cyber security teams and product teams to develop modeling tools for insurers
- Create predictive modeling that projects cyber security risk
- Design statistical analysis to separate causal drivers vs correlated factors
- Identify additional data sets that can be useful in understanding cyber insurance loss frequency and loss severity and approaches where data is lacking
- Experience with Hadoop
- Experience with multi-dimensional data sets
- Solution oriented, creative problem solver
- Demonstrated capacity to learn, intellectual honesty and enthusiasm to drive results and affect meaningful change
11
Senior Data Scientist Icloud Resume Examples & Samples
- 7 + years of experience with a strong background in statistical analysis / modeling
- Mastery of Excel
- Application of advanced analytics approaches using SAS, R, JMP, or similar technologies
- Proven executive level presentation and communication skills
- Demonstrated ability to work independently and respond rapidly in a fast changing business environment
- Background in cloud or software analytics is desirable
- Innate curiosity
- Ability to challenge current thinking in constructive ways
- Great cross-functional partner
12
Senior Data Scientist, IKU Resume Examples & Samples
- Collaboratively develop analysis plans based on clinical or business questions, and lead their execution through the use of existing analytic approaches or the development of novel ones
- Interpret data analysis results in clinical or business context, and articulate the implications of the results to the business function
- Collaborate with team members to meet project checkpoints and accomplish team objectives
- 3+ years experience in pharmaceutical / biotechnology / healthcare / health IT industry
- Advanced degree (MSc., MPH, PhD) in Biostatistics, Epidemiology, Computer Science, Informatics, Mathematics, or related field with a substantial statistical component; or postdoctoral fellowship and/or accredited training in data-related sciences with a substantial statistical component
- At least 2 years education or experience in observational healthcare data analyses
- Advanced hands-on knowledge of R and/or Python
- Experience analyzing data from traditional healthcare databases (electronic medical records, claims, etc) is preferred
- Experience with Hadoop platforms (ex Cloudera, Hortonworks) and related “big data” technologies is preferred
- Experience working in Cloud Computing environments (ex AWS, Azure, etc) is preferred
13
Senior Data Scientist, Cora Resume Examples & Samples
- Contribute to program library and analytic tools development and maintenance. Provide quality check of peer analyst’s programs
- Provide database evaluation, prepare, and maintain secondary datasets
- Demonstrated experience in observational research study analysis
- Working knowledge of relevant national healthcare systems, specifically with large observational and insurance claims databases, experienced with diagnostic, procedure, and healthcare coding systems
- Knowledge of relational databases and database concepts
- Broad and integrated knowledge of all aspects of the programming discipline
- SAS Base, SAS/STAT, SAS/GRAPH, SQL, and SAS macro programming experience
- Advanced statistics and health economics and outcomes research concepts are plus
- Unix operating systems, HTML, and other analytic toolkits such as R and Tableau experience are plus
- Ability to work collaboratively in a dynamic, team-based environment
- Ability to work independently on all assigned tasks and projects
- Ability to prioritize and adjust project plans appropriately
- Demonstrated ability to learn and embrace new technologies, applications and solutions
14
Senior Data Scientist Resume Examples & Samples
- Work on the data science team building scalable, Artificial algorithms
- Collaborate closely with other data scientists and big data engineers on designing and building highly scalable and distributed machine learning algorithms, including deploying and maintaining them in production
- PhD in Machine learning or Artificial Intelligence
- Full life cycle Machine Learning algorithm experience
- Printed several publications on a relating subject
15
Senior Economist / Data Scientist Resume Examples & Samples
- High school diploma or GED required
- Master’s degree in Finance, Economics, Mathematics or related field, preferred
- Four to eight years of directly related experience
- Strong PC skills
- Proficient with statistical software such as SAS or SPSS a plus
16
Senior Applied Machine Learning & Data Scientist Resume Examples & Samples
- Master’s degree in Computer Science, Engineering, Statistics or a related field
- 2+ to 5+ years experiences with Machine Learning, Semantic Web, Knowledge Graph and Data Science, and Natural Language Processing
- Knowledge of Information Retrieval and Search Engine technologies
- Experiences with designing and building efficient and scalable solutions for big data, especially on data engineering and data quality measurement
- Experiences on applying Deep Learning to NLP and other natural language problems
- Ability to learn and grasp concepts quickly in a fast-paced environment
17
Senior Data Scientist, Medical Safety Resume Examples & Samples
- Master degree required in Applied Mathematics, Computer Science/Informatics, Epidemiology, Statistics or related discipline with 5 years of overall experience or a PhD
- Experience applying a minimum of two software languages, such as PL/SQL, R, JMP, Python or other related software language to provide data-driven analytical solutions required
- Advanced knowledge of building custom or web-based applications using JMP, Java, JSON required
- Experience with relational databases (ex: Oracle Databases, MySQL, Microsoft Access, etc.) required
- Experience with systems development life cycle (SDLC) and computer system validation within a GxP environment is highly preferred
- Experience with business intelligence/ visualization tools such as Qlik, Tableau or Spotfire is preferred
- Experience with spontaneous adverse events and working knowledge of safety surveillance is preferred
- Prior training/experience with natural language processing and machine learning is preferred
- Willingness to work in an exploratory environment, handling non-standard tasks with minimal supervision required
- This position is required to be based in Fort Washington, PA or Skillman, NJ.Informatics
18
Healthcare Senior Data Scientist Resume Examples & Samples
- Collaborate with provider practices on innovative programs that improve affordability and health
- Align and consolidate as necessary disparate evaluation initiatives
- Supervise, coach, and develop colleagues
- Support the team responsible for the member identification and categorization process, including the development and implementation of new methodologies, metrics, and tools
- Support the team responsible for compliance data requirements (e.g. HEDIS) , routine assessments of provider and network performance to support care, quality, network, and pharmacy needs
- Advanced degree or equivalent and at least 5 years’ experience in related healthcare analytics
- Leadership competencies with the ability to collaborate with others and establish working relationships, communicate effectively across the organization and at different levels, think and act strategically, and influence key leaders
- To influence, drive, and improve the areas above, the person in this position will need to be self-motivated and possess strong leadership qualities
- Translate business needs into practical applications and solutions
- Working knowledge of program evaluation, pay for performance, predictive modeling, data mining, steerage, pharmacy and care management (DM / CM / medical home) best practices
- Experience in managing the design, development, and continuous improvement of complex healthcare data systems, tools, and reports (working knowledge and experience implementing Six Sigma or similar process improvement approaches a plus)
- Strong customer focus and management of client expectations
19
Senior Data Scientist, Translational Medicine Resume Examples & Samples
- Thorough understanding of disease molecular basis and pathology
- Familiar with molecular biology technologies and data analysis methodologies
- Clinical and study design knowledge
- Strong presentation and writing skills
- Ability to read and understand high volume of scientific information (such as notebook entries, preclinical and clinical studies protocols, scientific papers, and data files)
- Proficient in scientific terminology in chemistry/biology
- Ability to be able to learn other data processing software quickly
- Excellent communication skills, including an ability to communicate with stakeholders from different professional backgrounds (scientists, sales, marketing, IT personnel) and roles
- Advanced Excel skills required and a familiarity with programing languages such as Python, R, and SAS
- Must be independent and possess a high work ethic to maintain client's data confidentiality
- Knowledge of Thomson Reuters products a plus
- Previous working experience with tranSMART
- 2+ years of work experience in curation of scientific information and database development preferred
- Experience with clinical informatics preferred
- Experience with OMICS datasets is desirable
- Knowledge management experience in pharmaceutical industry will be highly valued
20
Senior Data Scientist, Shanghai, Ehbt, Htsc Resume Examples & Samples
- Deep & proven experience (5 years) in big data technical consulting and/or specific domain expertise
- Familiar with big data analytics tool (Hadoop, Cloudera, Teradata Aster…)
- Proficiency in C/C++/Java/Linux and/or embedded design
- Experience developing data models with time series data
- Possess excellent oral & written communications skills
- Excellent team player and experience in working with global teams
- Masters in Computer Science, Math or related major, PhD preferred
- Good knowledge on web technologies and standards (HTML5, AJAX, CSS, XML, etc)
- Experiences in industrial / building automation domain will be a plus
- Architecture related certification is a plus
21
Senior Mathematician Data Scientist Resume Examples & Samples
- Conduct training and educational programs in data science
- Document findings, including assumptions and validation work in a clear structured manner
- Summarize and present findings; adjust the content and level of detail to appropriate level of the audience
- Advanced degree in quantitative field, computer science, statistics, applied mathematics, bioinformatics, epidemiology or similar
- 2+ years of statistical analysis, quantitative analytics, and/or forecasting/predicting analytics in a corporate or Post Graduate setting
- Experience with business intelligence tools such as Tableau
- Experience with MapReduce associated languages such as Pig, Sawzall, Scala
22
Senior Data Scientist, IKU Resume Examples & Samples
- Advanced knowledge of a subset of analytical approaches (ex. machine learning, statistical analysis, predictive modeling, visual analytics) and the desire to continually learn and grow your analytical skillset
- Ability to work with structured and unstructured data
- Excellent communication skills with an ability to communicate complex matters in laymen’s terms
- Ability to multi-task and handle numerous complex relationships at a time
- Demonstrated ability to engage in effective joint problem-solving to address key challenges
- Advanced degree preferred (MSc., MPH, PhD) in Biostatistics, Epidemiology, Computer Science, Informatics, Mathematics, or related field with a substantial statistical component; or postdoctoral fellowship and/or accredited training in data-related sciences with a substantial statistical component
23
Senior SW Developer / Data Scientist Resume Examples & Samples
- 8+ years’ work experience in related field to include
- Strong proficiency as Web Developer supporting all layers of development from User Interface Development to back end Database development (minimum 4+ years)
- Strong proficiency in both Java (+ Scala experience desired) and Oracle development (minimum 4+ years)
- Strong proficiency in PL/SQL (4+ years)
- Moderate proficiency developing using NLP approach (3+ years)
- Proficient in Database Design and modelling , (2+ years)
- Proficiency in Python (2+ years)
- Familiarity with Oracle APEX desired
- Familiarity working in NoSQL environment (1+years)
- Familiarity with Machine Learning approaches
- Project Management or Team Leadership Experience (minimum 2+ years)
- Experience leading peers and subordinates through the entire project lifecycle
- Must be able to work both independently and collaborate with other team members and other teams across the project as needed
- Communication skills are essential to this position. Must be able to clearly identify and articulate/ communicate and document plans/approaches, strategies, issues/risks and recommendations
- Experience at the FDA is a big plus
- Experience in Scientific Environment is a plus
- Experience with Regulatory environment is a plus
- Experience with Regulatory Submissions and HL7/RPS standards is a plus
- Experience prototyping applications is a plus
24
Senior Data Scientist, Text Mining Resume Examples & Samples
- Develop and apply intelligent text mining / information extraction algorithms to extract intelligence from hundreds of millions of user generated reviews for millions of merchants worldwide
- Improve the quality of Groupon’s massive merchant database by developing elegant and scalable entity resolution, service taxonomy mapping and knowledge management models
- Improve Groupon’s taxonomies for various aspects of merchants / deals
- Create features that can be used by other data science teams that capture merchant characteristics, like merchant quality, merchant keywords, best time to call etc
- Extract / classify information from non-textual content, like images
25
Senior Healthcare Data Scientist Resume Examples & Samples
- Designs and directs the capture, cleanse, transformation and modeling of clinical and claims data to provide insight and actionable recommendations to facilitate improvements in population health management
- Understands, develops and directs the implementation of algorithms for performing predictions and prescriptions
- Creates written narrative summaries that outline project purpose, methodology, summary of findings, trends of interest, opportunities for intervention or consideration, changes or shifts in data elements from one time period to another, etc. to compliment many of the above reports, models and analytics
- Provides insight, analytical and business guidance to other team members and other departments with Beacon Health, LLC
- Displays original thinking and creativity; Meets challenges with resourcefulness; Generates suggestions for improving work; Develops innovative approaches and ideas; Presents ideas and information in a manner that gets others' attention
- Works independently in a dynamic environment, with accuracy, appropriateness, and attention to detail
- Results-oriented, strong collaboration, problem solving and negotiation skills
- Handle sensitive and confidential information, regularly exercises discretion and judgment
- Ability to think strategically, analyze issues and develop recommendations
- Must possess a comprehensive understanding of operational processes and ability to evaluate impacts on data compilation and reporting
- Practical experience with a defined project management methodology and tools. Knowledge of existing and evolving information technologies. Practical experience working with and leading multidisciplinary work teams
- PHD in Computer Science, Mathematics, Statistics, Informatics, Business, or related field preferred
- 5 years' experience in analysis of healthcare data and management of healthcare information systems
- Experience with claims analysis required
- Experience in a healthcare delivery system required
- Experience utilizing business intelligence, relational database, and data warehouse methodologies
- Must have the ability to design queries off of relational databases
- Strong quantitative and analytic skills
- Project management experiences a plus
- Ability to think creatively and work collaboratively to address problems
- Excellent communication skills required, including ability to communicate complex technical issues to a nontechnical audience
- Displays willingness to make decisions; Exhibits sound and accurate judgment; Includes appropriate people in decision-making process; Makes timely decisions
26
Senior NLP Data Scientist Resume Examples & Samples
- Provide Expertise in big data analytics with a focus on Natural Language Processing (NLP)
- Selecting features, building and optimizing classifiers using statistical approaches and machine learning techniques
- Monitor the team's overall progress within all aspects of their programs and projects, as well as proactively responding to any risks or issues, which may arise
- Create / Contribute to new the creation of new innovation project proposals including the pre socialisation with stakeholders, the creation of business cases, cost and revenue projections
- Manage multiple concurrent initiatives and projects of varying sizes andcomplexity
- Create new maintain existing partner and vendor relationships
- Exposure to newly released and upcoming technologies and the ability to positively contribute to the strategies of the business
- By working within the senior leadership team of the innovation network you will be highly visibly across the
- Experience of applied research, experimental development and early design activities to validate/invalidate ideas with a focus on analysing and manipulating data
- Extensive experience of natural language processing experience through research and applied projects
- Extensive experience in delivering machine learning algorithms that are used at scale in Production environments to deliver Natural Language Processing (NLP)-based products and services
- Extensive experience tackling problems involving Big Data, e.g., using the Apache Spark / Hadoop stack
- Solid and proven background and experience with Python, R, Java or Scala for large scale data analytic
- Proficiency with SQL and NoSQL environments
- Excellent presentation and communication skills to explain results and methodologies to non-technical stakeholders
- Technologically strong and business savvy
- Ability to collaborate effectively across diverse groups from senior stakeholders and clients to junior team members
- Strong Natural Language Processing skills - entity/relation extraction, normalization, summarisation, word/paragraph/document embedding, ranking, question answering, text/ sentiment classification, etc
- Strong programming skills (such as Hadoop MapReduce or other big data frameworks, Java), statistical modelling (lR)
- Doctorate or Master’s Degree in Computer Science, Engineering, Statistics, Math, or related disciplines
27
Senior Data Scientist Artificial Intelligence & Machine Learning Resume Examples & Samples
- 8+ years of experience is required
- Solid scripting and programming skills, with languages such as Python, C#, C++, Java, Ruby, Scala, and Erlang
- Knowledge of statistical and data science software packages and toolkits such as R, Python, Weka, NumPy, SPSS, SAS, MATLAB, and Stata
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, GBM, Decision Forests, etc
- Specialty skills in large scale computing and cluster computing, machine learning, convolution neural networks
- Exposure to GPU technology and CUDA programming
- Proficiency in SQL, NoSQL, and NewSQL database technologies
- Knowledge of Bayesian inference
- Experience with image analysis leveraging deep learning methodologies
- Recommending, selecting, and integrating any Artificial Intelligence and Machine Learning algorithms and approaches required to provide requested capabilities
- Execution of a wide range of projects across the Artificial Intelligence and Machine Learning domains
- Willingness and interest in stepping into other Data Science domains as required, including Machine Learning, Statistical Analysis, Spatial Analysis, Image Analysis, and Data Engineering
28
Senior Data Scientist, Shanghai, Htsc, Corp Resume Examples & Samples
- Enable data analytics solution capabilities internally
- IoT customer project delivery with focus on data analytics
- Demonstrated experience in working with solutions, defining requirements, conducting gap analysis for internal and external offerings that can form the complete solution using various technology, software and hardware products and service offering
- Demonstrated experience in successfully working cross-functional teams and integrations
- Demonstrated interpersonal and communication skills including the ability to effectively collaborate across time zones and cultures
- Excellent written and oral communicator
- Data analytics project skills in vertical industries are preferred
- Demonstrated strong analytical and problem-solving skills
- Project management skill in customer engagement situation
29
Senior Data Scientist Consultant Resume Examples & Samples
- Master or PhD in Mathematics, Statistics, Computer Science, Engineering, Operations Research or any related field
- A minimum of 3 years of working experience as a data scientist or in analytics
- Passionate about data and/or statistical analysis, with mathematics and causal modelling skills
- Strong programming skills such as Java and/or Python
- Knowledge of statistical modelling and data mining is required
- Knowledge of statistical tools such SAS, R, Matlab, … is required
- Knowledge of machine learning, Hadoop or other Big Data frameworks is a plus
- At ease in manipulating and analysing complex, high-volume, high-dimensionality data
- Excellent communication and interpersonal skills: you have the ability to communicate results clearly to non-technical colleagues
- Strong analytical competencies and excellent creative problem-solving skills
- Experience in Data Visualisation (knowledge of Business Intelligence Reporting & Analysis tools)
- Overall knowledge of Business Intelligence is an asset
- Fluent in Dutch and/or French and English
30
Senior Data Scientist, Shanghai, Htsc, Corp Resume Examples & Samples
- 1) Key responsibility includes turning data into actionable decisions in a highly iterative delivery model
- 3) Collaborate closely with global team of Domain experts, Data scientists, Data Engineers & Product managers to create business impacting actionable insights in a multi-disciplinary environment
- For experienced candidates, must have end-end hands-on experience in delivering & implementing Big data analytics in production. Must have skills, such as Synthesizing data, defining the problem, feature engineering, building the model, deploying the same in production
- Fluency in a programming or scripting language (e.g. Python, Scala, Ruby, Java) for fast prototyping and significant knowledge of core library and common design patterns
31
Senior Data Scientist H/F Resume Examples & Samples
- 1/ Back-office analytical work
- Drive projects on data extraction to ensure smooth access to all relevant internal systems
- Maintain & improve scripts to ensure their reliability & effectiveness
- Ensure understanding of analyses by audit / control teams
- Train teams and auditees to allow autonomous access to standard analyses
- Suggest additional analytics in various domains (finance, purchasing, HR, Sales & Marketing, Pricing, Logistics, etc) to be included in missions
- Suggest innovative visualizations of results
- 2/ When supporting an audit or control mission
- Execute defined scripts
- Consolidate results & propose impactful visualizations
- Conduct interviews and perform additional tests to validate working assumptions & ensure analytical reliability
- Liaise with audit/control team on a daily basis to ensure analytics are fully leveraged
- Undergraduate degree / Master / MBA in Mathematics, Computing or Engineering
- 5-6 years of experience in Consulting, Big 4 (audit) with industry exposure or other relevant extensive big-data experience
- Several years of experience with analytical tools (ACL) and data visualization tools
- Good knowledge of ERP systems (SAP, Oracle) & related data structures
- Analytical thinking & Business mindset
- Preferably exposure to the Energy sector or significant experience in Finance, Logistics, or sales & marketing
- Good relationship management in multicultural environments
- Excellent team player & good communication skills
- Ability to work under tight deadlines & withstand pressure
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Senior Data Scientist for Product Marketing Resume Examples & Samples
- Significant experience applying one or more of the following analytical methods: regression (preferably mixed models), data classification and reduction (e.g. cluster, factor, principle components, decision trees), Bayesian inference or other advanced machine learning techniques
- Fluency in SAS, R or Python, with experience writing scripts that are part of a production-type analytic solution
- Solid technical database knowledge (Oracle, Hadoop, Teradata, data modeling) and experience optimizing SQL queries on large data
- 1-2 years of experience working with Tableau
- Outstanding written, verbal, and presentation skills with the ability to develop and present conclusions and recommendation to senior executives
- Excellent project management and consultative skills
- Able to work effectively on sometimes ambiguous data and constructs within an fast changing environment, tight deadlines and priority changes
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Senior Data Scientist, Universal Media Resume Examples & Samples
- 7+ years experience working with data science projects
- Hands-on experience with NLP, mining of structured, semi-structured and unstructured data
- Experience working with large scale data sets
- Experience with Solr/ Lucene, Cassandra and related technologies
- Experience with machine learning tools and libraries such as Spark
- 2-3+ years of server side Java development experience
- Experience Ranking entities or attributes a plus
- Experience with Catalogs generation and Mapping techniques a plus
- Knowledge of Graph databases a plus
- Multimodal learning application is a plus
- Obsessed with quality
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Senior Associate, Cognitive AI Data Scientist Resume Examples & Samples
- Work closely with various KPMG functional teams to incorporate cognitive and advanced analytics models and algorithms in into KPMG’s solutions and offerings to its clients
- Serve as Thought Leader in their cognitive area of knowledge, developing internal and external eminence and intellectual property, as well as support client facing activities and influence customer facing groups including senior executives, sales, as well as marketing and product development to successfully define, develop and launch new cognitive products
- Model and algorithm development and optimization, working with software engineers to implement and productize the models and algorithms, engage in project specific activities as part of product development, as well as perform cognitive R&D work, develop tools and assets to support advanced cognitive development tasks
- Participate in business development efforts including guiding clients through the transformation process into a cognitive automation operating model
- Strong mathematical background with strong knowledge in at least one of the following fields: Cognitive Science, Advanced Semantic Design, Information Extraction, Information Retrieval, Probabilistic Decision Making, image recognition, deep learning
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Senior Data Scientist / Data Scientist Resume Examples & Samples
- Graduate degree in technical discipline
- Working knowledge of data analysis and visualization
- Experience using one or more data mining/data tools and frameworks such as SPSS, SAS, R, WEKA, scikit-learn, MATLAB, etc
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Cec-senior Data Scientist Resume Examples & Samples
- Define, Design and Build algorithms that will automate ecommerce experience selection, performance measurement and optimisation
- Data mining using state-of-the-art methods to discover patterns that respond to defined experiences
- For a problem, ability to select approaches from supervised, unsupervised, real time streaming and reinforcement methods
- Great communication skills and able to guide developers that may not have your depth of data science ability
- Proficiency in using query languages such as SQL
- Some Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
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Data Scientist / Demographer, Senior Resume Examples & Samples
- 12+ years of experience with analysis, including project management
- Experience with the design and execution of research
- Experience with Geographic Information Systems and Science, including ArcGIS
- Experience with statistical software, including SPSS, Stata, SAS, R, or MATLAB
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Senior Data Scientist, Retail Selection Resume Examples & Samples
- MS or PhD in Engineering, Mathematics, Computer Science, or other technical field. MBA also desired
- BA or BS in Engineering, Mathematics, Statistics, Computer Science, or other technical field
- 5 to 7 years of related work experience (data science, business intelligence, data analytics, data, science, or data engineering)
- Strong problem solving, data analysis and communication skills
- Experience handling large data sets using SQL and databases in a business environment
- Good working experience on processing data on relational databases like Oracle/SQL Server/ Redshift/Tera data
- Experience with data loading and ETL technologies
- Experience working in a fast-paced, high tech environment
- Experience in e-commerce or a related field
- Demonstrated experience designing and building new ideas, working closely with technical teams from concept generation through implementation
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Senior Healthcare Data Scientist Resume Examples & Samples
- Improve and extend the analytic methods in our products
- Play a key role in developing predictive models and performing data analysis
- Evaluate various and disparate data streams
- Support and drive analytic efforts around machine learning and innovation
- Work with a great deal of autonomy to find solutions to complex problems
- MS or PhD in Applied Mathematics, Physics, Computer Science, Statistics or related field
- 5+ years of Machine Learning and / or Predictive Analytics experience
- Intermediate to advanced proficiency in data science tools such as R, Python, SQL and H2O
- Strong Python development skills and / or other prototyping skills
- Foundational proficiency with Big Data tools such as Hadoop, Hive and Spark
- SAS knowledge
- Ability to apply computational algorithms and statistical methods to structured and unstructured data
- Ability to combine analytic methods with advanced data visualizations
- Expert ability to breakdown and clearly define problems
- Strong ability to communicate highly technical results to a diverse audience
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Senior Data Scientist for Machine Learning for Sales & Services Resume Examples & Samples
- Validate machine learning use cases with SAP units and customers in proof-of-concepts
- Contribute to SAP’s ML thought leadership with external publications on ML
- Hands-on experience with one or more leading deep learning frameworks
- (TensorFlow preferred; CNTK, MxNet, Caffe, Theano, Torch etc. a plus)
- Hands-on experience building models in natural language processing and one additional data domains (image, video, speech, tabular)
- Familiarity with cloud engineering, containerization and dev ops
- Ability to interface with internal and external stakeholders
- Ability to lead small teams in short- to medium-term projects
- Track record of building impactful software products
- 3+ years for senior position of professional experience
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Senior Geospatial Data Scientist Resume Examples & Samples
- Complete documentation of datasets and processes
- Prepare and execute workflows and geoprocessing models using Python
- Prepare and execute workflows and geoprocessing models using ArcGIS ModelBuilder
- Occasionally conduct presentations on enterprise specific topics at meetings and conferences
- Prepare and deliver presentations and/or training sessions related to mapping software, tools or procedures to internal and external audience on as needed basis
- Provide oversight of subordinate, intern and Co-op employees
- Proficiency in database management: create, edit, update, join, append and query data from spatial and non-spatial relational databases
- Advanced-level proficiency using ESRI ArcGIS 10.x software suite
- Intermediate to advanced-level proficiency with ArcGIS extensions Model Builder, Spatial Analyst, Geostatistical Analyst, and Network Analyst
- Proficiency in project planning and time management (setting and meeting goals, using calendars, etc)
- Experience with non-Esri software to generate on-line and hardcopy map and data products
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Population Health Senior.data Scientist Resume Examples & Samples
- Lead the design and development of complex data-driven operational and business solutions, as well as predictive model-based solutions for Healthcare delivery systems
- Ensure developed solutions drive key performance metrics for Healthcare customers
- Creation of customer-specific predictive modeling solutions
- Serve both internally to Siemens and externally to customers as the trusted advisor across analytics, data mining and big data intelligence
- Stay current and knowledgeable to market technology ensuring most effective and efficient solutions for Siemens customers
- Effectively build relationships, collaborate and partner with Healthcare providers and x-functional teams worldwide
- Become an expert on Siemens business processes, applications and associated data structures
- Understanding of analytics and statistics, machine learning and data modeling
- Superior conceptual and analytical problem solving skills; pragmatic implementation in organization
- Knowledge and experience in working with claims and clinical data
- Self-starter, self-motivated, high level of initiative within a fast-paced, constantly evolving Healthcare environment
- Result focused, ability to solve complex problems and resolve conflicts in a timely manner
- Communicates and presents effectively; ability to communicate with customers’ C-level, and with internal Management
- Eagerness and ability to learn new concepts and analytical approaches
- Entrepreneurial spirit, passion for Digital Health Services
- Strong background in datasets and deep analytics within Healthcare industry, Population Health experience a plus
- Experience with at least one programming langue or data extraction language
- Start-up or Incubator experiences are a plus
- BS/BA in Medical Informatics, Applied mathematics, Computer Science or related field
- 10+ years in Healthcare Technology in a technology discipline
- 5+ year in in Engineering or related role
- 2+ years of data analytics, mining and big data intelligence
- LI-MKM
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Senior Data Scientist, SAP SMB Team Resume Examples & Samples
- Owning end-to-end data science and analytics for the SMB Product group
- Collaborating with cross-functional teams of data scientists, engineers, and product managers to drive the roadmap of the US Innovation Lab
- Building and marketing proof of concepts and prototypes based on new technology trends
- Representing SAP SMB within the broader analytic community, showcasing examples of data driven applications and sharing best practices with internal and external stakeholders
- Demonstrated ability to perform complex hands-on analyses that deliver value
- Hands on experience with data mining and machine learning algorithms and approaches, with focus on predictive modeling, clustering, classification, time series, and search ranking
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Senior Data Scientist, Shanghai, Htsc.corp Resume Examples & Samples
- IoT reference cases where data analytics forms a part of the “whole” IoT solution
- IoT business development plan execution
- Ability to travel up to 30%, including international travel, on a regular basis
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Asst Dir-senior Data Scientist Resume Examples & Samples
- Build data content by experimenting with new data sets and ideas; assess alternative non-traditional data sources by testing and prototyping
- Help guiding the data analytics roadmap; work with our research and LoBs team analyzing new datasets and creating new metrics like sentiment scores, social scores and aggregate metrics trends
- Develop data visualizations dashboards with new findings from data analysis
- Work hand in hand with the Product, Data Management, Engineers, Clients and internal stakeholders to keep product development data driven and informed
- Apply innovation and new techniques to generate actionable insights for our clients from data
- Gather regular feedback from external and internal clients; identify areas of enhancement
- 4+ years of hands on work experience with structured and unstructured data
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Senior IT Data Scientist Resume Examples & Samples
- Working knowledge of statistics, programming and predictive modeling
- Code writing abilities
- Experience working in data mining or natural language processing
- Code writing in R, Python, Scala, SQl, Spark (1.6 and 2.0) for machine learning Shows strong knowledge of basic and advanced prediction models
- Data mining knowledge that spans a range of disciplines
- Data ingestion experience leveraging Sqoop and Oozie
- Hands-on development experience with one or more of Java, Python, Scala
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Senior Forecast Data Scientist Resume Examples & Samples
- Performs statistical analysis. Collect, validate and analyze call center data, to build accurate annual, quarterly, monthly and daily forecasts for staffing, call volume, email, faxes, etc. using valid historical patterns, drivers and events modeling, using workforce management forecasting software, other analytic tools and spreadsheets where appropriate. Forecasts for future contact volumes and average handling times to form the basis for agent schedules, vacation plans and long term strategic plans
- Create forecasts to allow calls to be shared across multiple sites / regions
- Analyze call center performance and review actual results against company objectives, campaigns and assumptions. Provide regular feedback to Senior Leadership and chart recommendations and changes as required. Perform actual vs. forecast variance analysis
- Create a long-term staffing model for capacity planning to determine future growth needs. Partner with Senior Leadership to determine capacity requirements and constraints across facilities. Review forecast model and staffing plans on a regular basis for data validation and address any changing operational needs or business rules
- Oversee, maintain and update the workforce management tool with statistical data (i.e. volume distribution, call handle time distribution, shrinkages, forecasting and scheduling scenarios) to ensure accurate forecasts and administer individual access rights
- Serve as the workforce management subject matter expert for other departments, internal customers and workforce management team members. Assist with training of staff on Workforce Management policies and procedures
- Manage team of Forecast Specialists in all Forecasting activities
- Minimum eight (8) years of experience in forecasting and analysis including three (3) years of leading a team or leading project teams and delegating work which could include matrix management
- Minimum nine (9) years previous experience with forecasting and analysis utilizing Aspect/eWFM, TCS, Verint/Blue Pumpkin, or related software
- Experience with database and or data manipulation
- Experience forecasting in a skills based routing environment
- Experience building, validating, and updating regression and time series models
- Working knowledge of programming languages such as R, SAS, and Scala
- Working knowledge of relational databases
- Undergraduate/graduate degree in mathematical statistics or other quantitative major
- Working knowledge of statistical principles and its applications for forecasting and data analysis
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Senior Research Data Scientist Resume Examples & Samples
- How can we run routing algorithm experiments more rapidly, given that metrics that we care about are network statistics?
- How can we run experiments on rider incentives, given that riders participate in complex social networks?
- Generally, how can we run fast, interpretable experiments when we have a lot of data but complex correlation structures make standard A/B designs unusable?
- A new algorithm might launch and perform well in all countries except 1, and you would tell the story of why that happened
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Senior Analytical Consultant / Data Scientist Resume Examples & Samples
- Master's degree in statistics, mathematics, computer science, operations research, or a related quantitative field
- At least 5 years of experience in advanced data analysis or analytical consulting/data modeling in a specific domain (Financial/Banking preferred)
- At least 1 year of experience programming in the SAS System
- Familiarity with data mining approaches
- Proven record of handling increasing responsibilities
- Analytical Consulting experience in Fraud or the Financial/Banking Domain (Highly Preferred)
- Ph.D. degree in statistics, mathematics, computer science, operations research, or a related quantitative field
- Experience with Link or Social Network Analysis
- Experience with SAS ETS and SAS Forecast Studio
- Experience with probabilistic linkage of large data sets
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Senior Data Scientist M/f/x Enabler Resume Examples & Samples
- Address diversified business problems like credit card fraud detection, targeted marketing, money-laundering detection, price optimisation, text categorisation and more, all across different business lines such as Fraud, Risk, Human Resources Management, Operations and Marketing
- Work with diverse analytical methodologies, including statistical/machine learning, forecasting, survival analysis, optimisation, text mining, process mining, graph analysis, big data algorithms and technologies, social media analysis, spatial analysis, recommendation systems, web analytics and so on (we don’t expect you to be an expert in all of them, but rather that you have strong core expertise and the ability to learn new stuff when needed)
- Communicate the fruits of your work directly to the top management
- Access one of the richest volumes of varied data in the market and apply your skills to it
- Evolve in an environment where innovation and lean processes are praised, straight-forward communication is encouraged, and peers understand the meaning of team up
- Work with a team of colleagues who are ready to collaborate and to share their experience
- You have at least a Master’s degree in a quantitative discipline, such as statistics, mathematics or engineering (a PhD is considered an advantage). Candidates with other academic backgrounds with substantial knowledge of analytics are also encouraged to apply
- You have at least 5 years of relevant experience in Data Analytics, ideally, but not necessarily, in the financial sector (less experience will be accepted if your academic credentials compensate for lack of professional experience)
- You have fluent knowledge of English and a good level of French and/or Dutch
- You are proficient in some of the programming languages that are used in Data Analytics, such as R or Python, both in a single server setup as well as in a distributed setup (e.g. with Spark)
- Deeper expertise in either text analytics or distributed computing (clusters, NoSQL databases, Spark) is considered a strong plus
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Senior Data Scientist Consultant Resume Examples & Samples
- Understand the customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances
- Assist customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization
- Use SparkML and Amazon Machine Learning (AML) to help our customers build ML models
- Work with our Professional Services DevOps consultants to help our customers operationalize models after they are built
- Assist customers with identifying model drift and retraining models
- Research and implement novel ML and DL approaches, including using FPGA
- 4+ years of industry experience in predictive modeling, data science and analysis
- Experience using Python and/or R
- Experience using ML libraries, such as scikit-learn, caret, mlr, mllib
- Strong written and verbal communication skills in German and English
- Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization
