Data Science Consultant Resume Samples

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J Cremin

Julio

Cremin

202 McDermott Fords

Chicago

+1 (555) 848 3587

202 McDermott Fords

Chicago

Phone

p +1 (555) 848 3587

Experience Experience

San Francisco, CA

Data Science Consultant

San Francisco, CA

Hirthe Inc

San Francisco, CA

Data Science Consultant

Work independently, or as part of a team, to design and develop Advanced Analytics solutions
Data mine a variety of different data sources and types
Lead analysis, architecture, design, and development of data warehouse and business intelligence solutions
Mentor junior team members
Functional proficiency in SQL, NoSQL, and relational database design and development
Passionate about learning new technologies
Design and deliver innovative analytical solutions using Hadoop, Spark, Hive, and other Big Data related technologies

Chicago, IL

HR Analytics Data Science Consultant

Chicago, IL

Schoen Inc

Chicago, IL

HR Analytics Data Science Consultant

Research and construct problem frames in order to understand the analysis context and scope that will provide timely, useful results
Develop and test heuristics
Perform data exploration and data mining
Create and run models
Responsible for working with leadership in the advancement of big data and analytics projects
Execute advanced and predictive analytics; e.g. regression analysis, multilevel analysis, factor analysis etc
Serve as an expert in translating complex data into key strategy insights and value add actions

present

New York, NY

Senior Data Science Consultant

New York, NY

Jacobs, Purdy and Bosco

present

New York, NY

Senior Data Science Consultant

present

Work with internal and third party information technology teams to establish and monitor service levels for uptime, performance, and software updates
Develop meaningful and intuitive graphical user interfaces that reflect key operational metrics and actual/target performance
Partner with subject matter experts on the Conduent global operations team who will provide expertise on source systems and project support
Conceptualize the end-to-end solution from data extraction from source systems to executive, management and operational reporting in a BI platform
Generate algorithms and create computer models
Perform data studies of new and diverse data sources
Build web prototypes and performs data visualization

Education Education

Bachelor’s Degree in Statistics

University of Tennessee

Bachelor’s Degree in Statistics

Skills Skills

Act as an advisor and consultant, providing data analysis support, research design, and project management advice and leadership in small to large scale projects with social sciences, science, and engineering
Contribute to a broad range of research leadership activities including strategic planning, business development, proposal writing, project design, creation and formulation, applied grant finance, project budget development, communications and outreach
Provide active technical training, including organizing and presenting data science and statistical tools symposia and training workshops, and manage graduate students providing statistical consultation
Development experience (C++, Java) or complex project experience (Agile, scrum) will be
Web development (node.js, php) and visualization framework (D3, JS) experience will be
Data Warehousing/Business Intelligence experience will be
Experience with Big Data solutions (Hadoop, Spark, NoSQL, AWS) will be
Experience with business areas (retail, telco, banking, ecommerce) will be
Computer science publications and proven scientific track record will be
English: Intermediate and higher

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Data Science Consultant Resume Examples & Samples

3+ years of consulting or industry experience in the data science field
Deep hands-on experience with at least one commercial analytic tool (e.g. SAS, SPSS, Alteryx, or Rapidminer) AND one open source analytics language (e.g. R, Python, or Weka)
Hands-on experience in coding/programming to achieve the below

Data Science Consultant Resume Examples & Samples

Identify business challenges and needs and determine how the use of predictive or prescriptive analytics could be leveraged by the business
Work independently, or as part of a team, to design and develop Advanced Analytics solutions
Data mine a variety of different data sources and types
Lead analysis, architecture, design, and development of data warehouse and business intelligence solutions
Analytical approach to problem-solving; ability to use technology to solve business problems
Experience building predictive models, machine learning algorithms, and recommendation engines
Experience in programming languages such as Java, Python, Scala, R
Functional proficiency in SQL, NoSQL, and relational database design and development
Five years of progressive experience in Data Science or Data Analysis
Ability to learn new concepts and software quickly
Passionate about learning new technologies
Strong verbal and written communication skills; strong time-management and organizational skills
Analytical experience with Big Data tools including Spark, Hive, and Pig
Proven experience with data warehousing and data modeling
Enterprise architecture experience
Real-time analytics and batch processing
AWS or equivalent cloud platforms
Advanced Post-Secondary Degree in Quantitative field or equivalent experience
Data Visualization experience with Tableau, Qlik, D3, or similar platforms

Data Science Consultant Resume Examples & Samples

Identify business challenges and needs and determine how the use predictive or prescriptive analytics could be leveraged by the business
Design and deliver innovative analytical solutions using Hadoop, Spark, Hive, and other Big Data related technologies
Work independently, or as part of a team, to design and develop Big Data solutions

Data Science Consultant Resume Examples & Samples

Assisting in demand-generation activities
Acting as an internal enablement resource for client-facing sales and presales resources, as well as Marketing resources
Providing recommendations for Open Source skillsets for SAS resources
Maintaining a high degree of familiarity with relevant emerging trends in technology and our client’s business environments
Has proven skills in analytically-related Open Source (and associated) technologies such as Python, R, MapR, Spark, Scala, Hadoop, Java, Lua, etc
Understanding and experience in defining business technology solutions, and how they will fit into clients’ business and technical environments
Business savvy and understanding how solution architectures fit within a business strategy, and in defining the value these solutions will deliver
Effective communications and relationship skills (written, presentation, conversational) to present/message/communicate at all levels of an organization – this can range from the practitioner to the executive level
Experience with relevant/related decision support capabilities a plus – e.g., SAS, data visualization, BI, data management, analytics capabilities, etc
High levels of proactivity, creativity, curiosity, self-motivation, and thirst for knowledge. Goal oriented
Works effectively in virtual and formal teams, takes ownership and shows leadership within the team and with relationships

Employee Analytics, Data Science Consultant Resume Examples & Samples

Apply your expertise in quantitative analysis, and the presentation of data to see beyond the numbers to help inform, influence, support, and execute our business decisions for the Employee Experience team (HR Business Partners, L&D, Diversity, Growth, Operations, Global Mobility, Benefits, and Equity)
Acts as an internal consultant by analyzing and recommending solutions to key business partners relating to employee data
Prepare and build reports by collecting, analyzing, and summarizing data and trends
Effectively communicate with external clients and internal teams to deliver reports in a timely fashion
Monitor the integrity and validity of the data reported
Address data integrity issues and work to solve root cause process or systems issues
Partner with the Employee Reporting and Analytics team to improve operating efficiencies/effectiveness and work with internal teams to automate or streamline data collection processes
Leverage tools, such as SQL, Tableau, Workday, and Excel to drive efficient analytics

Data Science Consultant Resume Examples & Samples

Act as an advisor and consultant, providing data analysis support, research design, and project management advice and leadership in small to large scale projects with social sciences, science, and engineering
Contribute to a broad range of research leadership activities including strategic planning, business development, proposal writing, project design, creation and formulation, applied grant finance, project budget development, communications and outreach
Provide active technical training, including organizing and presenting data science and statistical tools symposia and training workshops, and manage graduate students providing statistical consultation

Graduate Opportunity Analytics & Data Science Consultant Resume Examples & Samples

Exposure to data / data environments / databases / large data sets
Strong problem solver, someone unhappy with the status quo
An interest in coding with possible experience with R, Matlab, SAS, SQL or Python (academic experience included)
Analytical mind set / someone that challenges assumptions
Data visualisation experience- Tableau, Spotfire, Qlikview etc

Data Science Consultant Resume Examples & Samples

You will answer our customer’s most relevant questions using advanced analytics skills, ideas and insights. You will work in collaborative environment taking part in the whole process of analytical solution creation and delivering measurable business value
You will be aimed at communication between business and IT turning high-level business questions into detailed scope statement of data analysis process
You will have to learn new approaches and analytical methodologies from customer insights, current experience and your background and to propose appropriate modeling approach for particular task
You will face with broad range of data wrangling, cleansing, and processing tasks having the vast amount of data from different sources and with different structures
You will have to develop machine learning models and validate their performance as well as quantifying business impact
At least 1-3 years of hands-on analytical modeling experience
Advanced knowledge of analytical modeling techniques (nonparametric regression/classification, collaborative filtering, natural language processing, linear and discrete optimization, simulation, etc.)
Experience with existing modeling packages (Python, R, Weka, SAS)
Experience working with databases (SQL)
Experience with one of programming languages (Python, C++, Java)
Communication skills, team orientation and willingness to learn
Experience in turning modeling results into knowledge for business stakeholders
University degree (preferably in computer science), Master’s degree or PhD will be a plus
Development experience (C++, Java) or complex project experience (Agile, scrum) will be a plus
Web development (node.js, php) and visualization framework (D3, JS) experience will be a plus
Data Warehousing/Business Intelligence experience will be a plus
Experience with Big Data solutions (Hadoop, Spark, NoSQL, AWS) will be plus
Experience with business areas (retail, telco, banking, ecommerce) will be a plus
Computer science publications and proven scientific track record will be plus
English: Intermediate and higher

Data Science Consultant Resume Examples & Samples

Data Modelling & Analyses
Execute the full data mining steps from data preparation, modelling & interpretation
Propose new problem solving solutions and methodologies
Create client value through Business Insight generation – Turning insights to action
Engage in the delivery of analytics assignments for Accenture clients involving segmentation, churn prediction, cross & up sell, forecasting, predictive asset maintenance, optimization
Contribute and facilitate workshops/interviews bridging the gap between data analytics and business outcome
Provide strategic and tactical advice to clients by translating analytical solution into out-of-the-box execution recommendations addressing business objectives and impacting bottom line results
Participate in business development work efforts
Build case for analytics through need analyses and business case (quantify likely benefits)
PhD or Master’s degree in a quantitative field (Econometrics, Computer Science, Business Administration, Quantitative Marketing) with a specific emphasis on statistics/(big) data mining/supply chain etc
0 to 5 years of hands on experience in analysing data through statistical modelling and machine learning to tackle business questions related to marketing and/or supply chain
Excellent communication and presentation skills: able to explain Analytics in non-technical terms to business users (C-level, line managers, etc.)
You manage some of the main statistical softwares (R, SAS, SPSS, etc.), SQL and programming languages (C, VBA, Python, R, etc.), machine learning techniques (SVM, Random Forest, Kmeans, etc.) and visualization (SAS VA, Qlikview, D3, etc.)
Knowledge of Big Data technologies such as Hadoop, Pig, Hive, Aster, Spark, etc
Knowledge of cloud-based solutions such as Azure, Cortana, etc
Showing extra-curricular experiences in the area of analytics and a clear interest in the digital world

Senior Data Science Consultant Resume Examples & Samples

Analyse data using SQL, Excel, Tableau, R, Python or other Business Intelligence tools
Display analysis results using reports or visualizations
Support Predictive Modelling projects with data preparation, exploration and other data and I.T. support
Work with technologists to choose, design and maintain data models, algorithms, etc
Liaise with Data Scientists and Data Engineers for the delivery of the projects
BI tools such as Tableau or Qlikview
Strong programming skills including at least one modern scripting language such as Python
Advanced SQL skillsSelf-starter willing to explore, research, experiment and innovate

Data Science Consultant Lead Resume Examples & Samples

3+ years of analytic experience preferably in the healthcare industry
Demonstrated extensive and diverse knowledge of health care data, metrics, systems and standards; demonstrated subject matter expert in multiple subject areas
Well-versed in applications of statistical model building and concepts
Big data technology tools such as Hive, SQL, R, Python and Hadoop; experience with Tableau a plus

Junior Data Science Consultant Resume Examples & Samples

A completed Master's degree in Econometrics, Statistics, Computer Science, Business Administration or equivalent
Proven affinity and skills for analyzing and interpreting data
Strong belief in data as the new oil. Unprecedented interest in technology trends and a willingness to jump into the depth and learn new techniques
Ability to think conceptually and solution from a business perspective
Experience with analytics tools and / or a programming language, for example, R, Python, Matlab, SAS, Java
Excellent command of Dutch and English spoken and written
And lastly, you are also a proactive team player with strong communication skills

HR Analytics Data Science Consultant Resume Examples & Samples

Serve as an expert in translating complex data into key strategy insights and value add actions
Discover business narratives and findings and present them to business stakeholders and others with a business need for data insights
Develop and test heuristics
Create and run models
Perform data exploration and data mining
Create business intelligence, dashboards, visualizations, and/or other advanced analytics reports to adequately tell the workforce business story and offer recommendations that are practiced, actionable, and have material impact
Identify statistical analysis techniques required to deliver HR insights well supported by analytical models and data
Execute advanced and predictive analytics; e.g. regression analysis, multilevel analysis, factor analysis etc
Partner with HR business clients, establish professional relationships, and communicate with analytics clients in order to understand business needs
Have a knowledge of HR areas including talent, compensation, benefits, etc
Frame problems/challenges with stakeholder
Research and construct problem frames in order to understand the analysis context and scope that will provide timely, useful results
Interview Subject Matter Experts and other groups at multiple levels to gain valid information and data needed for analysis; conduct sessions to develop and assess alternatives, uncertainties, value, and risk preferences
Responsible for working with leadership in the advancement of big data and analytics projects
Deliver high quality analysis, reporting and communicate results to decision makers, explain results and conclusions of the analytics process in both written and oral presentation formats
Create recommendations that are practiced, actionable, and have material impact, in addition to being well-supported by analytical models and data
Find new uses for existing data sources
Build web prototypes and performs data visualization
Graduate from a four-year college or university with a degree in statistics, physics, mathematics, engineering, computer science, or management of information systems
Three (3) to five (5) years of related work experience in addition to degree
Working knowledge of code writing
Understanding of and ability to use programming languages such as Python, R, SQL, Hadoop, etc
Experience with HR processes & HR applications including WorkDay, Workforce, SumTotal, etc
Experience with analytic tools such as SAS, R-Studio, Jupyter Power BI, Power Pivot, etc
Experience with analyzing high volumes of data
Strong exploratory analysis skills
Excellent verbal and written communication skills with the ability to bridge the gap between data science and business management
Mastery of statistics, machine learning, algorithms, and advanced mathematics
Brings a new perspective

Data Science Consultant Resume Examples & Samples

Working closely with project teams to build predictive models for a wide variety of applications, including sales forecasting, customer analytics, pricing analytics, text mining, and optimization & simulation
Be a part of client engagements and interact face to face with clients
Gather models requirements, design experiments and analyses, query and manipulate data, build and deploy predictive models, and interpret the outcomes for consumption by client leadership
Working with databases, data modeling, ETL, and Hadoop technologies
Building a wide variety of analytical models, including (but not limited to) decision trees, random forest, linear & logistic regression, market basket, neural networks, naïve Bayes, and support vector machines
Extracting, cleansing and visualizing data
Excellent problem solving skills & attention to detail
Ability to translate complex models into visuals and actionable business insights
Excellent communications and presentation skills; proficient in PowerPoint
Master’s degree in a Statistic/Quantitative discipline preferred, but not required

Data Science Consultant Resume Examples & Samples

Strong understanding of data and data mining techniques - Clean, aggregate and interpret data in preparation for analysis
Use advance analytics and technology and advantage of data driven analytical techniques to come up with new solutions
Support the delivery of client work with analytical modelling and the development of new client opportunities
Devise reusable assets and solutions for trending and client business problems
Support clients who seek to develop their predictive capabilities in the context of a broad range of business functions
Establish the approach to be used by data scientists to address a client business problem
Support and consult on complex analyses and support the develop business cases in conjunction with industry and/or opportunity analyses
Develop and interpret statistical models and output
Coaching and managing a group a analysts during a development exercise
At least Bachelor’s Degree in Mathematics, Technical Science, Computer Science (or equivalent) or Engineering
2-3 years programming experience in at least one item from each
Advanced Degree in Mathematics, Statistics, Econometrics, or other data-heavy research science with experience in the following highly desired

Data Science Consultant Resume Examples & Samples

Develops, design and implements market segmentation reports for the residential, commercial and major account markets
Evaluates and analyzes market research data and studies to ensure the timely adjustment of company strategy and plans to meet changing market and competitive conditions
Performs mathematical/statistical analyses/modeling and formulates data trends and/or correlations
Effectively controls marketing research projects and takes corrective action so that corporate objectives are achieved within designated budgets
Recommends and designs ongoing process improvements, development, implementation and support/troubleshooting as subject matter expert of multiple systems for use by customer service, sales and marketing personnel that are essential to meeting the company’s strategic customer experience, sales and marketing objectives

Technical Data Science Consultant Resume Examples & Samples

Graduation from a four-year college or university with a degree in statistics, physics, mathematics, engineering, computer science, or management information systems
Minimum 5 years of experience of full software / application development life-cycle, web development using ASP.net, dashboard and reports development with visualization tools like Power BI and/or SAS VA, statistical modeling, and quantitative research
Working knowledge of Structured Query Language and relational database management system like SQL Server or Oracle, ASP.net for web development, MS Office, and/or VB, C# in database applications development
Working knowledge of statistics and predictive modeling in base SAS, enterprise SAS (EG& VA)
Master degree in statistics, economics, finance, physics, mathematics, engineering, computer science, or management of information systems
Understanding of and ability to use programming languages like R, Python with Hadoop
Understanding of and ability to use relational database technologies for database architecture / design

Data Science Consultant Resume Examples & Samples

Test and validate predictive models
Implement automated processes for efficiently producing scale models
Generate algorithms and create computer models
Graduation from a four-year college or university with a degree in statistics, physics, mathematics, engineering, computer science, or management of information systems
3 – 5 years prior equivalent work related experience
Strong critical thinking skills and the ability to relate them to the products or services the company is producing
Understanding of and ability to use scripting languages such as R, SAS, Python and SQL (Structured Query Language)
Strong knowledge of basic and advanced prediction models
Hands-on experience with Hadoop
Working familiarity with BI tools
Excellent verbal and written communication skills as well as the ability to bridge the gap between data science and business management
Exceptional organizational skills and is detail-oriented
Utility experience is a plus

Senior Data Science Consultant Resume Examples & Samples

Design new processes and build large, complex data sets
Train the data services center team on new or updated procedures
5-10 years of prior equivalent work related experience

Data Science Consultant Resume Examples & Samples

Degree in a relevant field like statistics, computer science or applied maths, physics or relevant subjects or 3+ years of experience in computer science, applied mathematics, or other quantitative/computational discipline
3+ years of experience with real data
Innovative and strong analytical and algorithmic problem solvers
3+ years of experience with scripting languages (e.g., Python, Ruby, Perl, Bash) for orchestration and data manipulation
3+ years of experience with statistical computing tools like R, SAS, and SPSS
Data engineering experience, including SQL and experience manipulating structured and unstructured data sources for analysis
Familiarity with Amazon Web Services and Elastic MapReduce a plus
Familiarity with Hadoop based commercial packages (e.g. Cloudera, Hortonworks

Clinical Data Science Consultant Resume Examples & Samples

Bachelors degree and 3 years experience in an advanced mathematical, statistical, engineering, physics or related quantitative field; OR Masters degree and 2 years experience in an advanced mathematical, statistical, engineering, physics or related quantitative field concepts; OR 8 years experience in an advanced mathematical, statistical, engineering, physics or related quantitative field
Requires specialized depth and/or breadth of expertise
Interprets internal or external business issues and recommends best practices
Takes initiative to solve complex problems; takes an outside / in perspective to identify innovative solutions
Works independently, with guidance in only the most complex situations

It-data Science Consultant Resume Examples & Samples

Recommends and develops SAS code to create system, process and data efficiencies
Administers CRM system for design and customization while proactively exploring new system functionality to enhance the user experience as the roadmap for CRM evolves and becomes more widely instituted throughout the company
Develops, design and implements market segmentation reports for the residential, commercial and major account markets - Evaluates and analyzes market research data and studies to ensure the timely adjustment of company strategy and plans to meet changing market and competitive conditions
Works independently to research and analyze but also interact with other analysts within the department as well as other functional areas of the company
Maintains communication with customer facing personnel, fostering open communication and continuing an exchange of product, promotional and marketing ideas
Recommends research strategies and explores new BI tools, as well as ways to use current BI and statistical tools such as SAS

It-data Science Consultant Resume Examples & Samples

The Data Science Consultant will be responsible for forming and maintaining strategic relationships within and between business units through proactive engagement, consultation and project leadership in the area of advanced analytics including; advanced analysis, data exploration, data mining, data visualization, reporting, and dash-boarding
Partner with Business Clients: Ability to identify, establish professional relationship, and communicate with analytics clients in order to understand business needs
Frame Problems with Stakeholders: Ability to research and construct problem frames in order to understand the analysis context and scope that will provide timely, useful results
Work in Project Teams: Ability to participate in multidisciplinary analytics project teams
Interview Subject Matter Experts: Ability to plan and conduct individual interviews with experts to gain valid information and data needed for analysis
Elicit Information from Groups: Ability to plan and conduct group elicitation sessions with committees or other working groups to develop and assess alternatives, uncertainties, and value and risk preferences
Communicate Results to Decision Makers: Ability to explain the results and conclusions of the analytics process in both written and oral presentation formats
Ability to create recommendations that are practiced, actionable, and have material impact, in addition to being well-supported by analytical models and data
Identify unique opportunities to collect new data
Strategize new uses for data and its interaction with data design
Locate new data sources, analyze statistics and implement quality procedures
Perform data studies of new and diverse data sources
Design, modify and build new data processes
Collaborate with database engineers and other scientists
Possesses a minimum of 3-5 years of relevant job experience
Graduation from a four year college or university with a degree in statistics, physics, mathematics, engineering, computer science, economics or management of information systems
Possesses a working knowledge of statistics, machine learning, algorithms and advanced mathematics
Displays understanding of and ability to use programming languages like Python and SQL (Structured Query Language)
Has data mining knowledge
Possesses a strong desire to advance knowledge in the fields of advanced analytics and data science

Senior Data Science Consultant Resume Examples & Samples

Solicit input from Conduent and client management to identify key success factors and business requirements for successful BI solution delivery
Assess the technology landscape and information/data sources, identify gaps to global data templates and recommend solutions
Conceptualize the end-to-end solution from data extraction from source systems to executive, management and operational reporting in a BI platform
Partner with subject matter experts on the Conduent global operations team who will provide expertise on source systems and project support
Develop meaningful and intuitive graphical user interfaces that reflect key operational metrics and actual/target performance
In partnership with the BI Reporting Analyst, perform end-to-end testing and provide ongoing support for reporting enhancements and changes to business needs
Create and maintain work instructions and processes for end user distribution based on business needs
Work with internal and third party information technology teams to establish and monitor service levels for uptime, performance, and software updates
Bachelor’s degree in supply chain, business, finance or related degree
6 years’ experience in a BI consultant, architect or developer role
3 years’ development experience with BI/analytics platform(s)
3 years’ experience with ETL database functions
Experience with Qlik® development
Knowledge of 3rd party hosting solutions for BI/analytics platform(s)
Fortune 100 experience
Business Process Outsourcing (BPO) or client-facing experience
Operational knowledge of finance, accounting and procurement processes
Experience working with global teams in North America, South America, Asia and Europe

Senior Data Science Consultant Resume Examples & Samples

Define capability for a universal analytical platform within DLG; be primary stakeholder representative anticipating and developing future capability needs
Contribute & input into the Data Science strategic road-map
Own and run the agile backlog for data science analytical activity; including engagement with senior stakeholders to document, prioritise and prove value for Data Science activities
Maintain awareness of the wider Data Science industry, in particular looking for technical or other opportunities that can make our Data Science function more effective [ such as driving down the long-term costs, time to value realisation or simplify activity for others to get value out data ]
Consulting
Maths & Statistics
Advanced Computing
Scientific Method & Rigour
CRM & Marketing

Bioinformatics & Data Science Consultant Resume Examples & Samples

5+ years of experience with bioinformatics, biomedical data science, computer science, or similar, including graduate research
5+ years of experience with writing technical papers or reports for both scientific and non–technical audiences
Experience with command line, including Linux or UNIX and programming in at least one language, including R or Python
Experience with data visualization techniques, including Tableau
Experience with analyzing data from public biomedical databases, including NCBI’s and primary data archives, including GenBank, SRA, or GEO
Ability to show multiple first–author contributions to peer–reviewed papers or patents
Ability to explain and present complex technical concepts to a broad audience
Experience in working with data from biological fields, including neuroscience, molecular biology, synthetic biology, or infectious diseases
Possession of excellent scientific writing skills
Active Secret clearance preferred
PhD degree in CS, Bioinformatics, Genetics, Statistics, Mathematics, or a related field

Data Science Consultant Resume Examples & Samples

10+ years of professional experience with at least 7 years of data science experience
9+ years of professional experience with at least 6 years of data science experience with an Advanced Degree
MBA or PhD
Degree in Computer Sciences, Mathematics, Statistics, or other data/analytics intensive field
Previous device manufacturer experience preferred
Ability to collaborate with teams comprised of individuals with diverse backgrounds; including but not limited to R&D, Software, Hardware, Regulatory, Manufacturing, Quality Assurance, Clinical and Marketing
Managerial and entrepreneurial courage; must be confident managing risks and making decisions that will likely have a large impact on strategic organizational objectives. Works independently; self-directed
Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions
Strong results orientation (driving to deadlines, financial targets, project goals, etc.)
Technically savvy; must be able to discuss, understand and make decisions regarding a wide array of engineering disciplines and complex technical/logistical issues

Senior Clinical Data Science Consultant Resume Examples & Samples

Bachelors degree and 5 years experience in an advanced mathematical, statistical, engineering, physics or related quantitative field; OR Masters degree and 4 years experience in an advanced mathematical, statistical , engineering, physics or related quantitative field; OR 10 years experience in an advanced mathematical, statistical , engineering, physics or related quantitative field
Advanced Knowledge of SQL, SAS and/or Teradata or other statistical tools/languages
Recognized as an expert within HCSC
Anticipates internal and external business challenges and/or regulatory issues; recommends process, product or service improvements
Solves unique and complex problems that have a broad impact on the business
Contributes to the development of functional strategy
Leads project teams to achieve milestones and objectives
Progression to this level is typically restricted on the basis of business requirements

Senior Data Science Consultant Resume Examples & Samples

Bachelor degree
5 years of experience in application of predictive modeling, programmatic data analysis (using SAS/ R/ Python/ SPSS)
Management experience
Knowledge in optimal computational environment required for data processing, mining and machine learning (Hadoop/ Scala/ No-SQL etc.)
Experience in leading and mentoring data scientists
Knowledge of the fundamentals of statistics applied to solving business problems
Relationship management, team building skills
Experience working across business units and functions
Project management skills and detail oriented
Clear and concise interpersonal, verbal and written communication skills
PC proficiency with Microsoft applications including Access, Excel, Word and Power Point.Preferred Job Qualifications
Master degree in Mathematics, Statistics, Operations Research, Computer Science
Proficiency in SQL and Hive

Oil & Gas Data Science Consultant Resume Examples & Samples

Help companies better understand consumers and how to connect with them across markets and channels, using data and analytics
Design and develop reusable analytical assets using advanced statistical and computational methods
Pilot sophisticated advanced analytics & innovative analytics solutions to prove value
Work closely with business leaders to understand needs and assist with architecting and deploying innovative solutions
Operate at the frontier of innovative analytics; introduce and implement newest market developments & trends in analytics
Optimize Resources processes and integrate across the enterprise in order to maximize the opportunities of data, analytics, and outcomes
Build, deploy, maintain and scale advanced analytic solutions that reduce complexity and cost
Partner and team with technology solution providers to deliver the best solution meeting the needs of our clients
Offer our clients end to end solutions and services
Project-based analytics including but not limited to: Machine Learning, Predictive Analytics, Comparative Effectiveness Analysis, Failure Analysis, Big Data Analytics, Optimization, Demand Forecasting, Customer Segmentation, Customer Analytic Record. Client-facing interaction including providing analyses, recommendations, presentations and advice to clients
Understands the strategic direction set by senior management as it relates to team goals
Uses considerable judgment to determine solution and seeks guidance on complex problems
Determines methods and procedures on new assignments with guidance
Minimum of 3 years’ delivery experience in advanced modeling environment: strong understanding of statistical concepts and predictive modeling. (e.g., AI neural networks, multi-scalar dimensional models, logistic regression techniques, machine-based learning, big data platforms, SQL, etc.)
Minimum 2 years’ experience with predictive analytics tools, including at least two of the following: R, SAS, Alteryx, Python, Spark, and Tableau
Minimum of Bachelor's Degree required in related field; strong preference for fields of study in Data Science, Mathematics, Economics, Statistics, Engineering and Information Management
Minimum of 2 years of experience with consulting or implementing transformational change in the Resources industry
Minimum of 3 years’ experience and strong proficiency with the Microsoft suite (including advanced Excel skills with embedded Pivot Tables & Macros; advanced PowerPoint usage)
Experience in the analysis of data from enterprise data warehouses and big data platforms
Experience in the following areas: Applied Statistics/Econometrics, Statistical Programming, Database Management & Operations, Digital, Comparative Effectiveness Research
Project management, time management and communication skills necessary to execute the responsibilities and deliver against client expectations

Data Science Consultant Resume Examples & Samples

Specialization in data science (or artificial intelligence ideally)
You have strong interest and skills in the main areas of artificial intelligence (machine / deep learning, language, vision, sound, artificial intelligence solution)
Primarily you master Python
Preferably you have experience in market solutions such as Google TensorFlow and Google API, Amazon Alexa, Watson Platforms (IBM), Microsoft Cortana, Amelia (IPSoft), Theano, Caffe, Scikit learn, Matlab, Azure ML, AWS ML, The video, Nuance, wit.ai or api.ai, Yseop
Preferred an academic background or significant experience as data scientist
You have entrepreneurship and a sense for customer service and a strong ability to work as a team
You are fluent in both written and spoken English

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