Senior Data Scientist

The MITRE Corporation•New Bedford, MA

5d•$124,400 - $186,600•Onsite

About The Position

MITRE is seeking a Senior Data Scientist for its Business Analytics and Acquisition Affordability Department within the MITRE Technology and Engineering Acquisition Division. This team collaborates with internal and external sponsors to address complex mission and business challenges using advanced analytics, economic modeling, and decision support capabilities. The work encompasses cost estimation and analysis, investment economics and decision analysis, and strategic business and financial analytics. MITRE is looking for experienced analysts to enhance its business analytic and data science capabilities for a variety of sponsors. The role involves engaging with sponsors and multidisciplinary teams to define analytic problems, prioritize tasks, and present findings to inform strategic and operational decisions. The ideal candidate will possess strong analytical thinking, intellectual curiosity, effective communication skills, and the ability to transform complex data into actionable insights. The position covers the entire analytic lifecycle, including identifying, sourcing, integrating, and validating complex datasets; exploring and cleaning structured and unstructured data; applying statistical methods, predictive models, and analytic techniques; interpreting findings within policy, regulatory, and operational contexts; translating technical analyses into stakeholder-friendly conclusions and recommendations; developing analytic tools and dashboards; and delivering findings through reports, presentations, and briefings to diverse audiences. In addition to core data science tasks, this role supports broader departmental efforts in cost, economic, and business domains, including life-cycle cost estimating, tradeoff and affordability analyses, decision analysis, portfolio investment analysis, business case analysis, and business intelligence and performance analytics. The environment is dynamic and collaborative, requiring innovative and adaptive approaches. Successful candidates will be comfortable managing multiple projects, working with autonomy, and engaging directly with sponsors on complex, ambiguous problems.

Requirements

Typically requires a Bachelor’s degree and a minimum of 5 years of related experience; or an advanced degree with relevant experience who can immediately contribute at this job step; or equivalent combination of related education and work experience.
Bachelor's degree in Operations Research, Mathematics, Statistics, Economics, Finance, Data Analytics, Data Science, Systems Engineering, or other engineering or quantitative analysis field
Expertise in python or R for data science and modeling
Expertise in code environment management and versioning (e.g.., Git, IDEs)
Experience programmatically accessing and integrating structured and unstructured data from enterprise databases, APIs, and cloud-based data platforms
Expert in data processing, exploratory data analysis, and work with both structured and unstructured data sources
Expert at machine learning and natural language processing, including model tuning, computer vision, time-series analysis, and related packages (e.g., scikit-learn)
Ability to independently identify that best statistical and/or machine learning methods for a given task
Ability to leverage AI as a responsible augmentation to work, including judgement when to validate and tune LLM outputs
Expertise in choosing appropriate visualizations to communicate findings utilizing data visualization approaches and software, including PowerBI, Tableau, Qlik, and visual development through leaflet, R Shiny, plotly, seaborn, ggplot, or other packages
Expert at use of statistical methods including regressions, forecasting, and hypothesis testing
Excellent written and verbal communication skills
Expertise with MS Office Suite, especially Excel, Word, and PowerPoint
Ability to obtain and maintain a Top Secret level security clearance
U.S Citizen to be considered for a security clearance

Nice To Haves

Master’s in Economics, Mathematics, Statistics, Finance, Business, Operations Research, Data Analytics, Data Science, Systems Engineering, or other engineering field
Expertise in additional programming languages including SQL or java
Experience with software engineering best practices and agile devops software development processes
Experience with econometric/economic modeling and analysis
Working knowledge of federal budgeting and spending mechanics, processes, and data.
Planning, Programming, Budgeting, and Execution (PPBE) and OMB Circular A-11
Acquisition reform and PPBE reform initiatives
Federal Acquisition Regulations
Capital Planning and Investment Control (CPIC)
Federal spending data, including: USASpending.gov, SAM.gov, or FPDS-NG
Investment modeling and analysis, cost benefit analysis, experience in handling large datasets for data driven analysis, policy and investment analysis, and economic analysis in support of regulatory policy, pre- and post-implementation analysis, forecasting, and applied research
Expertise and experience with data engineering and cloud computing (i.e., Amazon Web Services, Microsoft Azure)
Cost estimating experience, including development of Independent Government Cost Estimates (IGCEs) or use of parametric cost estimating tools (PRICE, SEER SEM, etc.)
Source selection cost evaluation experience
ICEAA Certification or Defense Acquisition Workforce Initiative Act (DAWIA) certification desired
Possess an active Top Secret level security clearance

Responsibilities

Identify sources of information and gather a wide range of quantitative and qualitative data to support decisions that have implications for MITRE and its government sponsors
Select and apply analytical methods and techniques, including exploratory data analysis, time series analysis, linear regression, text analysis, and machine learning
Draw conclusions from analyses and clearly and concisely articulate key findings in both written and verbal form
Lead the presentation of findings to senior level stakeholders
Recommends and develops data visualization products that improve the presentation of complex data sets and analyses
Translate unstructured data and nontraditional sources of information into business insights
Explore sponsor environments for cross-government challenges and identify potential best practices
Develop investment, economic, and decision analyses, including business case analyses, cost/benefit analyses, analysis-of-alternatives, and portfolio analysis
Develop strategic business and financial analyses, including but not limited to economic studies, cost recovery strategies, budget development & planning, and affordability analysis
Assess government and industry cost estimates and economic analyses
Works independently with minimal guidance while proactively identifying, analyzing, and communicating significant issues, findings, risks, and opportunities to leadership and stakeholders.
Lead small teams on tasks or small projects while training or assisting junior staff