Data Scientist Lead Resume Samples

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A Frami

Aron

Frami

13675 Maggio Village

New York

+1 (555) 534 6477

13675 Maggio Village

New York

Phone

p +1 (555) 534 6477

Experience Experience

Phoenix, AZ

Data Scientist Lead

Phoenix, AZ

Mayert-O'Reilly

Phoenix, AZ

Data Scientist Lead

Lead projects involving multiple report developers
Definition, implementation and maintenance on the advance data analytics strategy and supporting playforms
Effectively co-ordinate with data warehousing team
R and/or Python programming
Building and maintaitng of knowledge on the data sources, the data quality and metadata
Build machine learning models and statistical methods to analyze data in an automated way
Support and coaching to members of the data analytics team

Philadelphia, PA

Data Scientist, Lead

Philadelphia, PA

Durgan-Dooley

Philadelphia, PA

Data Scientist, Lead

Support all aspects of IT configuration management from change request documentation, analysis, approval, user acceptance testing, and training
Working knowledge of the latest technology in Business Intelligence (BI)/Master Data Management (MDM) tools and Data Quality Service
Strong service orientation and learning attitude
Formulate models and apply quantitative analysis in a proactive manner
Create detailed mock-ups to present the concept and the data to the business analysts/decision-makers in a clear, concise and influential manner
Candidate will contribute to the strategic outcomes the data analytic environment, and fully participate in efforts to develop new functionality and improve current processes
Active Secret clearance

present

Phoenix, AZ

Senior Data Scientist Lead

Phoenix, AZ

Will-Green

present

Phoenix, AZ

Senior Data Scientist Lead

present

Work in an Agile way to orchestrate cross-functional projects for designing and testing new algorithms and models
Perform rigorous statistical evaluation of the predictive accuracy
Will utilize data to support businesses model improvements
Will assist businesses using data and analytics to help optimize profits
Support the organization to derive value from data science and analytics
Educate users on benefit of analytics
Intense customer focus both internal and external customers

Education Education

Bachelor’s Degree in Mathematics

University of San Francisco

Bachelor’s Degree in Mathematics

Skills Skills

Strong analytical and problem-solving skills and ability to work with incomplete or imperfect data
Excellent communication skills / strong business partner
Demonstrated communication and interpersonal skills, including the ability to make high-level presentations for senior executives
R, Python, Java, SQL, Tableau, SPSS Modeler, SPSS Statistics, .NET, HTML, Angular, D3
Expert in QlikSense AND SAP BO tools/Tableau/Power BI
Ability to interpret and use the analytics results within the real business context
Ability to work both independently and collaboratively within a globally dispersed team
Strong communication & collaboration skills with diverse stakeholders
Statistics experience
Knowleadge of the marketing and sales processes

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15 Data Scientist Lead resume templates

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Data Scientist Lead-global Data Security Resume Examples & Samples

7+ years of industry experience with an emphasis on data science
BS/MS in Computer Science, Statistics, Mathematics, Engineering, or related field
Strong academic training and working knowledge of applying machine learning techniques such as logistic and multivariate regression, decision/CART trees, ensemble learning such as random forest, bagging, boosting, Bayesian learning, clustering, recommendation algorithms such as collaborative filtering, matrix factorization, kNN, etc
Willingness and desire to learn from other data scientists in the team on the art and science of modeling, feature engineering, decision trade-offs between model complexity and model deployment
Very good understanding of experimental design, A/B testing, multivariate testing
Hands-on ability to use at least one machine learning package such as R, Weka, GraphLab, Scikit-learn, Vowpal Wabbit, Apache Mahout, to build and validate models for real-world deployment
Excellent interpersonal and collaboration skills, ability to explain complicated mathematical concepts, algorithms and data structures to all business partners
Proven ability to be effective under pressure and willing to take personal responsibility and accountability
CISSP,CISM,CISA,CEH,CNDA,CCNA,CCDP,CCNP,CCSP,MCSE,MCTS,ITIL,GIAC,Security+ or relevant security certification(s) desired

Data Scientist Lead Resume Examples & Samples

Strong analytical background, preferably statistics part of the academic curriculum. Strong algorithmic and programming skills
Familiar and experienced with various statistical methods and models
Experience with statistics and data mining packages like SAS Eminer, SPSS, R etc
Experience in Unix scripts and databases
Excellent written/verbal communication skills and organizational skills
Experience in the banking/finance industry

Data Scientist, Lead Resume Examples & Samples

8+ years of experience with analytics delivery in a consulting or internal role, defining strategy, establishing client relationships, and delivering innovative solutions
Experience with the application of advanced data analytics, including structured, unstructured, or relational and data mining and machine learning techniques
Experience with applying data visualization techniques, leveraging data to inform decision making and risk mining and structured and unstructured text mining methods and techniques
BA or BS degree in a quantitative field, including statistics, machine learning, data mining, operations research, EE, or computer engineering preferred; MA or MS degree a plus

SVP, Digital Targeting & Data Scientist Lead Resume Examples & Samples

Develop learning agenda and strategic capability roadmap for digital marketing data, models and audience segmentation
Design complex predictive models in Hadoop environment with both traditional modeling tools such as SAS and big data tools such as Revolution R, Hive, or Python
Manage internal and vendor resources to optimize machine learning algorithm for digital acquisition
Incorporate the ever-expanding wealth of digital information including search engine, display advertising, social media, Web and mobile behaviors to generate actionable insights, and obtain organizational buy-in through influential communication
Build cross-channel measurement function at Citi for digital attribution and media mix optimization
Collaborate with the Marketing team, MIM team and other cross functional teams to build business case for and to implement cutting-edge digital targeting capabilities
Institute disciplined test and learn approach to enhance knowledge and drive innovation
Establish KPI measurements for new product and feature launches. Ensure control processes are robust and adhered to
Build a high performing team through associate development. Promote and lead a culture of continuous learning
Manage both onsite and offshore analytical resources. Identify and prioritize high leverage opportunities for the team
Graduate degree in a quantitative discipline is required (i.e. Engineering, Physics, Economics, Statistics, Mathematics, and Operations Research)
8+ years of work experience in analytic role is required. Financial services or digital marketing industry experience preferred
Advanced SAS and SQL skills are required. Proficiency with digital analytical tools such as SiteCatalyst or Google Analytics is a must. Big data programming skills such as Revolution R, HIVE or Python are highly preferred
Familiarity with digital analytics and data providers in the industry is preferred
Demonstrated excellence in key leadership competencies: communication, collaboration, influencing, people management, prioritization, and execution capability
Must have ability to effectively navigate matrix organizations, create support and buy-in across a wide range of stakeholders
Accomplished change leader: demonstrate a flexible approach and resilience to setbacks and able to drive operating and culture change; long term vision and leadership stamina to maintain course and thrive in a fast-paced environment

Data Scientist Lead Resume Examples & Samples

Solid background in statistics, applied predictive modeling and machine learning
Experience with R/Python
Experience with C++ or Scala

Senior Data Scientist Lead Resume Examples & Samples

Show and mentor the organisation how to leverage ‘big data’ to answer complex questions
Innovate and implement machine learning, text analytics, and large-scale data mining techniques and technologies that discover actionable patterns or informs hypotheses and insights
Work in an Agile way to orchestrate cross-functional projects for designing and testing new algorithms and models
In some cases (particularly in the early days), be hands-on in building the prototype
Perform rigorous statistical evaluation of the predictive accuracy
Collaborate with marketers, other data analysts, engineers and software developers to build scalable solutions as needed

Data Scientist Lead Resume Examples & Samples

Definition, implementation and maintenance on the advance data analytics strategy and supporting playforms
Identification of advance data analytics use cases to detect cybersecurity threats
Perform data analytics on large datasets to identify anomalies, undetected security incidents, malicious activity, and trends that could be indicative of cyber risk
Collate and analyze relevant security events from network devices and hosts and calculate their correlation and causality
Build machine learning models and statistical methods to analyze data in an automated way
Support and coaching to members of the data analytics team

Data Scientist Lead Resume Examples & Samples

Understanding of the business challenge resp. business context of the decision to be supported
Suggesting the appropriate mathematical approach
Building mathematical or statistical models using the available data
Assembly and use of scientific literature and experimental data to estimate parameters in mathematical models
Development of the (quality, documented, and reusable) SW code to run the analysis
Use of tools such as R, SAS and/or SPSS, Matlab or Mathematica to design and develop analytical models for advanced techniques such as forecasts, simulations, and optimizations
Interpret the results and provide the advices to the business stakeholders
Assessment of the output of analytical solution and use the data to draw conclusions, identification of options, and making recommendations
Building and maintaitng of knowledge on the data sources, the data quality and metadata
Recognition of the repeatable situation and suggesting the appropriate level of automation of analytics
Promotion of a culture of modelling and analytics as a differentiator and competitive advantage – an environment that places high value on embedding analytical tools within business processes, and using information in real time to make fact-based decisions
Identify and develop the analytical opportunities within the enterprise
Help articulate the analytical needs to the business decision makers
Lead and coach the delivery team on the mission to make the business impact
Transform the business processes to incorporate the the analytical insights into the daily practice
PhD or MSc Degree Degree in Mathematics, Statistics, Information Technology, Operations Research / Optimization, Machine Learning, Engineering, Economics or other related field
Passion for advanced analytics (mathematics) and applying it to help prevent and cure disease
The ability to formulate models, analyze them, and program and run simulations in some appropriate system (for example R, Matlab, Mathematica, or more specialized software such CPLEX)
Extensive knowledge in one or more of the following areas: Mathematical analysis and modeling, optimization, probability, stochastic processes, econometry, graph theory
Strong analytical and problem-solving skills and ability to work with incomplete or imperfect data
Ability to interpret and use the analytics results within the real business context
Ability to work both independently and collaboratively within a globally dispersed team
Strong communication & collaboration skills with diverse stakeholders
Leading, coaching and mentoring the delivery team
Knowleadge of the marketing and sales processes
Knowleagde of the process modelling methodology
Consulting and business transformation expertise
Business development and relationship building competence
Proven track of cases of stakeholder, scope and project management
Demonstrated communication and interpersonal skills, including the ability to make high-level presentations for senior executives

Data Scientist Lead Scoring Resume Examples & Samples

Own the Lead Propensity Scoring roadmap, taking a holistic view on lead scoring and routing
Execute against the roadmap, developing propensity models that optimize on conversion of quality Leads
Set up a system of monitoring the effectiveness of our Lead Scoring and Strategies and use of a basis to trigger reviews, escalations and deep dive analytics
Implement a program of test and learn for champion-challenger tests and surface insights and recommendations to wider stakeholder group
Examine internal/external data sources with a view to incorporating into our model suite and increasing targeting accuracy

Data Scientist, Lead Resume Examples & Samples

Develop innovative concepts/approaches with minimal or no guidance to extend the current environment
Plan, execute and monitor analyses & synthesis of technologies applicable to analytics
Create logic behind data that leads to better business decisions
Review, analyze, and extract data
Formulate models and apply quantitative analysis in a proactive manner
Provide user community support for over 1,200 users from across the DoD to include providing ad hoc training, troubleshooting, defect reporting, and defect resolution
Support all aspects of IT configuration management from change request documentation, analysis, approval, user acceptance testing, and training
Act as subject matter expert for processes and data related to the DoD IT asset inventory, compliance requirements, and IT portfolio management
Work closely with business analysts to truly understand their data needs, their business challenges to determine what data is most important, what challenge needs to be solved and what is most relevant and significant method of delivering the data product required
Create detailed mock-ups to present the concept and the data to the business analysts/decision-makers in a clear, concise and influential manner
Work collaboratively with clients and multi-vendor team members to strategically plan and implement a business intelligence solution with the capability to lead discussions and meetings
Candidate will contribute to the strategic outcomes the data analytic environment, and fully participate in efforts to develop new functionality and improve current processes
Bachelors degree and seven to nine years of related experience
Experience in performing and presenting descriptive analysis
Experience in dashboards, visualization and reporting front end
Experience in relational database concepts
Working knowledge of the latest technology in Business Intelligence (BI)/Master Data Management (MDM) tools and Data Quality Service
Strong leadership skills, decision making and problem solving abilities
Software: Expert in Excel, Visio, MS Access and additional BI and MDM tools, BI solutions and products such as Tableau, Qlik, D3, etc
Skills in formulating, modeling, and solving complex problems and applying them in a diverse technical environment Knowledge or experience with DOD datasets
Generate and test hypotheses and analyzes and interprets the results of product experiments
Languages/Technologies: Java/J2EE, Python, Shell, JavaScript, XML, Python, R, Hadoop
Understanding the Hadoop
Understanding of government budget process and experience in /defense analytical processes

Data Scientist, Lead Resume Examples & Samples

1+ years of experience with Map Reduce programming
1+ years of experience with the Hadoop Distributed File System (HDFS) and JSON or BSON
Experience with distributed scalable Big Data store or NoSQL, including Accumulo, Cloudbase, HBase, or Big Table
Experience with the design and development of an object-oriented system
Experience with developing solutions, integrating, extending, and contributing to open source software and version control systems, including Github or Gitlab
MS degree in CS, Physics, Statistics, or Mathematics preferred; PhD degree in Computer Science, Physics, Statistics, or Mathematics a plus

Data Scientist Lead Resume Examples & Samples

Candidate will have the opportunity to contribute to and guide advanced analytics projects across business units including Commercial Airplanes; Defense, Space, and Security; Supply Chain & Operations; Engineering, Test, and Technology; Information Technology; Corporate Functions; and others. Example project areas include services growth, factory automation, manufacturing productivity, engineering design, and supply chain optimization
As part of the core data science group, candidate will develop innovative, reusable, and scalable solutions and identify applications across the enterprise, beyond the initial use case, and drive the implementation of these applications to capture business value. Candidate will assist in evaluating technologies to fill capabilities gaps, leverage and teach best practices and technology standards, and work alongside the rest of the global data scientists and technical leads in Analytics & Information Management Services
Candidate will be a part of the global delivery center for machine learning and advanced analytics
Customer: Work with business partners on incorporating analytics into their processes. Determine stakeholder needs and ensure business value is realized. Communicate, advise, and collaborate with business partners and technical leads. Manage and monitor production and deployment. Work effectively with cross-functional deployment teams to deliver decision support visualizations and reports, algorithms, models, dashboards and/or tools
Analysis Algorithms, Analytics Skills, Data Analysis, Data Mining, Visualization Technologies, Software Development
Statistics, Mathematics, Computer Science, Computer Programming, Machine Learning, Big Data, Data Transformation (unstructured to structured), Data Preparation, Data Integration, Data Modeling, Data Definition, Software Engineering, Software Development, User Experience, User Interface Programming
R, Python, Java, SQL, Tableau, SPSS Modeler, SPSS Statistics, .NET, HTML, Angular, D3
Technical bachelor's degree and typically 9 or more years' related work experience or a Master's degree with typically 7 or more years' or a PhD degree or an equivalent combination of education and experience. A technical degree is defined as any four year degree, or greater, in a mathematic, scientific, or information technology field of study

Data Scientist Lead Resume Examples & Samples

Candidate will interface directly with senior business leaders and stakeholders in order to architect and lead the development of advanced analytics solutions supporting one of three primary domains: Commercial and Defense Aftermarket Services; Engineering, Manufacturing, Quality, and Safety; Supply Chain, HR, Finance, and Corporate
Candidate will work with data scientist leads across domains to ensure functional excellence in this technical field. Candidate will provide mentoring, technical leadership, and training to the data scientist community to accelerate and develop this talent base. In particular, candidate will provide thought leadership for machine learning and advanced analytics methods at Boeing and externally
As part of the core data science group, candidate will lead project teams in developing innovative, reusable, and scalable solutions. Candidate will actively engage with stakeholders across the business to identify applications across the enterprise, beyond the initial use case, and lead the implementation of these applications to capture business value. Candidate will evaluate technologies, assist in identifying capabilities gaps, develop and teach best practices and technology standards, and work alongside the rest of the global data scientists and technical leads in Analytics & Information Management Services
Candidate will actively engage with analytics partners, stakeholders, and customers within and outside of Information Technology & Data Analytics
Candidate will have a stake in ensuring analytics solutions meet the business requirements and are implemented in a timely manner to validate business value. Candidate will partner with other technical leaders to deliver the full value chain of an analytics service to the customer
Models: Work effectively with cross-functional teams in the analysis of highly complex data sets using advanced analytics techniques such as machine learning, advanced statistical analysis, visual analysis, text analysis, mathematical optimization, and simulation. Identify modeling attributes and parameters
Follow best practices and standard processes for validation and refinement for analytic requirements
Develop and apply algorithms to create descriptive, predictive, or prescriptive models to achieve analysis that directly supports strategic business goals and objectives
Assess performance of models and analysis and confirm that business objectives were met. Work with business unit stakeholders to develop and sustain analytics solutions
Data: Define data requirements and performance metrics to support analysis. Develop strategies for data collection or simulation to support business needs. Investigate highly complex data characteristics, quality, and meaning. Through visualizations and summarizations, define performance, identify trends, outliers, and drivers. Identify potential risks and suitability of data, working with business stakeholders to develop mitigation
Strategy: Develop integrated roadmaps to meet priorities. Lead teams to assess current technology, evaluate emerging technology, adapt and create methodology, and engage with industry to identify trends and developing capabilities
Choose best-fit data science methodology (statistics, machine learning, optimization, simulation) given the data and applications, and evaluate strengths and weaknesses for their intended use. Evaluate and validate correctness of highly complex models and analysis and the applicability of the technology

Senior Data Scientist Lead Resume Examples & Samples

Support the organization to derive value from data science and analytics
Programming experience, including data extraction and manipulation (SQL)
Amazon Web Services
Machine Learning/Predictive Modeling experience

Data Scientist Lead / Supervisor Resume Examples & Samples

Excellent interpersonal, written/verbal communication, and leadership skills with the ability to quickly build credibility, influence and make recommendations to all levels
Strong analytical and problem solving skills with attention to detail
Organizational skills - ability to multi-task, prioritize, and execute on assigned deliverables
Facilitation skills - emphasis on coordinating customer relationships with internal functions/groups; ability to solve issues by coordination across cross-functional areas
Strong cross-functional team player
Ability to communicate complex findings and ideas in a plain language
Enjoy discovering and solving problems
Strong organizational skills - ability to effectively manage multiple projects and tasks simultaneously
A high level of proficiency with Microsoft Office

Data Scientist Lead Resume Examples & Samples

Educate users on benefit of analytics
OnCommand systems, GPS, weather, demographics, telematics)
Will utilize data to support businesses model improvements
Statistics experience
Excellent communication skills / strong business partner
R and/or Python programming
Hadoop experience

Data Scientist Lead Resume Examples & Samples

Proven Ability to learn and work on latest technology, have good analytical skills and pickup faster
Should have excellent communication, interpersonal skills and be a team player
Should have Strong Leadership skills to drive the technical aspects of the project
Able to act as the technical change agent in the project, mentoring the lesser experienced
Experience in building strong relationship with the Onsite Counterparts

Data Scientist Lead Resume Examples & Samples

Bachelor’s in Engineering - Computer Science/Information Technology OR MCA
Min experience of 7-9 years in Business Intelligence tools (reporting)
Considerable years of experience in reporting for Manufacturing domain
Manage reporting project deliverables involving multiple team members
Detail requirement gathering, project Solutioning and creating reporting spec
Query data from multiple data sources (MS SQL / SAP HANA / Other sources) and create effective reports & dashboards in QlikSense & SAP BO tools
Do data analysis / data validation
Effectively co-ordinate with data warehousing team
Report migration in Dev/Quality/Prod systems
Expert in QlikSense AND SAP BO tools/Tableau/Power BI
Data querying experience in SQL /SAP HANA / SAP BW / MS Access & other data sources
Expert in project requirement gathering , convert business requirement into analytical specs
Experience in customization reporting tools using programming languages
Lead projects involving multiple report developers
Data Analysis skills
Experience in SAP ECC (T codes , navigation)
Exposure in SAP HANA /SAP BW
Programming Language like Python, Java Script etc

Data Scientist Lead Resume Examples & Samples

6 years of experience in marketing analytics, business analytics, or comparable field, including digital, media, and marketing measurement
Experience with conceptualizing brand and marketing campaign measurement and optimization frameworks that help drive business impact and the optimization of campaigns
Experience in establishing, implementing, and socializing best practices effectively with both technical and non-technical stakeholders
Experience with dynamic and interactive data visualization, including Tableau and Qlik and data management, such as SQL
Experience with predictive modeling and machine learning to work across SQL, SAS, R, and Python
Experience with analysis techniques, including campaign measuring, A/B testing, and multivariate testing
Knowledge of applying predictive analytics techniques with client and audience profiling, segmentation, and marketing mix
Knowledge of offline, digital, and traditional media platforms and metrics, behavioral and sentiment analysis, and measurement and reporting tools, including SimplyMeasured, Keyhole, Google Analytics, Adobe Social, and Moreover or LexisNexis
Ability to problem solve to structure and conduct analyses, synthesizing disparate qualitative and quantitative data to generate trends, insights, and recommendations to drive improvements, and identify solutions, including Machine Learning and Natural Language Processing
BA or BS degree in Business, Marketing, Statistics, Mathematics, Economics, or Computer Science
Experience in calculating incremental lift from marketing campaigns
Experience in working with B2B or B2G companies in sales or marketing
Experience in working with multivariate testing tools, including Adobe Test and Target
Experience in working with IT or other technical digital stakeholders to implement or update analytics tools
Knowledge of traditional and innovative research and evaluation methods for brand health
MS degree preferred

Data Scientist Lead Resume Examples & Samples

6+ years of experience in marketing analytics, business analytics, or a comparable field, including digital, media, and marketing measurement
Experience with conceptualizing brand and marketing campaign measurement and optimization frameworks that help drive business impacts and the optimization of campaigns, and with establishing, implementing, and socializing best practices effectively with both technical and non-technical stakeholders
Experience with dynamic and interactive data visualization, including Tableau and Qlik and data management, such as SQL, and with predictive modeling and machine learning to work across SQL, SAS, R, and Python
Knowledge of applying predictive analytics techniques with client and audience profiling, segmentation, and marketing mix, and of offline, digital, and traditional media platforms and metrics, behavioral and sentiment analysis, and measurement and reporting tools, including SimplyMeasured, Keyhole, Google Analytics, Adobe Social, and Moreover or LexisNexis
Ability to problem solve to structure and conduct analyses, synthesizing disparate qualitative and quantitative data to generate trends, insights, and recommendations to drive improvements and identify solutions, including Machine Learning and Natural Language Processing
Ability to demonstrate excellent project management expertise and multi-task, prioritize, meet short-turn deadlines, and collaborate across the team and business

Data Scientist & Lead Challenge Architect Resume Examples & Samples

Core member of CIL’s data science team responsible for the execution of challenge requirements
Investigates, analyses, and interprets the outcomes of experiments and projects
Plans, develops, and conducts complex research projects
Formulates methods and approaches in the areas of space sciences, life sciences, medical imagining/ pathology, and advanced analytics
Creates, enhances, and maintains documentation for data, modeling choices, rationale and results
Advises and breaks down large data
Documents findings through research papers
Investigates, analyzes, and interprets efficiency and applicability of innovative crowdsourcing approaches for specialized scientific and technical problems
Reports on use of open innovation and prize-based competitions to solve technical problems to PI and research team
Collaborates with researchers at NASA, HMS, Broad, and other research institutions
Willingness to travel periodically based on research needs
Hands on knowledge of C, C++, Java, Python, and other programming languages
Master’s degree in quantitative sciences such as: Computer Science, Statistics, Mathematics, Physics, or equivalent
Practical knowledge of analytics, computation, and data analysis software (e.g.: R, STATA, SPSS, SAS etc.)
Experience running, organizing, or competing in analytics competitions
Ph.D. in quantitative sciences such as: Computer Science, Statistics, Mathematics, or Physics
Ability to handle multiple projects and competing demands
Strong team player with excellent verbal and written communication skills
Strong interest in open innovation practice and research

Data Scientist, Lead Resume Examples & Samples

Define vision, strategy and principles for data management
Define standards for naming, describing, governing, managing, modeling, cleansing, enriching, transforming, moving, storing, searching and delivering all data within the enterprise
Serve as the liaison between data consumer representatives and data solution development, integration and governance teams
Define of metadata standards with mission based vocabularies, ontologies, and/or taxonomies
Must understand how data is, or will be, used and implication on people, processes, products and technology
Strong interpersonal skills to resolve problems in a professional manner, lead working groups, negotiate and create consensus
Strong service orientation and learning attitude
Experience with data security, data governance, or master data management practices is a plus
Strong attention to detail and understanding of various data systems, data sources and system platforms
Solid verbal and written communication skills and hands-on experience with MS Office products
Bachelor’s degree with 7 to 9 years of experience in Data Governance, Data Analytics, Data Mining
Master’s degree with a minimum 7 years of experience in Data Architecture, Data Governance, Data Analytics, Data Mining
Experience with CMMI Level 3 delivery is a plus