Data Scientist

The Mitre Corporation•New Bedford, MA

34d•$98,800 - $148,200•Onsite

About The Position

MITRE is seeking an intermediate-level Data Scientist for its Acquisition Affordability and Business Analytics Department within the MITRE Technology and Engineering Acquisition Division. The team works with colleagues across MITRE and government sponsors to address mission and business challenges through advanced analytics, economic modeling, and decision support. Its work includes cost estimation and analysis, investment economics and decision analysis, and strategic business and financial analytics. The role covers the analytics lifecycle: sourcing, integrating, and validating complex data; exploring and cleaning structured and unstructured datasets; applying statistical methods, predictive models, and other analytic techniques; interpreting results in policy, regulatory, budgetary, political, and operational contexts; and turning technical analyses into useful conclusions and recommendations. The Data Scientist may develop analytic tools, dashboards, and reusable capabilities, and communicate findings through reports, presentations, and in-person briefings for technical and non-technical audiences. The position also supports cost, economic, and business analyses, which may include life-cycle cost estimating, tradeoff and affordability analyses, decision analysis, portfolio investment analysis, business case analysis, and business intelligence and performance analytics. The work is varied and collaborative, often involving multiple projects and ambiguous problems. Team members engage directly with sponsors, work with limited structure or supervision, and adapt their approach to solve complex challenges. The role receives guidance from more senior staff while independently identifying and raising relevant issues, risks, findings, and opportunities. The position requires working onsite at least four days per week. The candidate must be eligible to obtain and maintain a Top Secret U.S. Government security clearance; U.S. citizenship is required for clearance eligibility. The hired candidate must obtain the Top Secret clearance within one year of hire.

Requirements

Bachelor's degree in Operations Research, Mathematics, Statistics, Economics, Finance, Data Analytics, Data Science, Systems Engineering, or another engineering or quantitative analysis field.
At least 2 years of related experience.
Proficiency in Python or R for data science and modeling.
Proficiency with code environment management and versioning, such as Git and IDEs.
Ability to retrieve and work with data from remote sources, including databases, APIs, and cloud-based data lakes, using standard analytical tools and programming languages.
Proficiency in data processing and exploratory analysis, working with structured and unstructured data.
Proficiency in machine learning and natural language processing, including model tuning, computer vision, time-series analysis, and related packages such as scikit-learn.
Ability to use AI responsibly to augment work, including judgment about when to validate and tune large language model outputs.
Experience with data visualization methods and software, including Power BI, Tableau, Qlik, or visualization development tools and packages such as Leaflet, R Shiny, Plotly, Seaborn, or ggplot.
Proficiency in statistical methods, including regression, forecasting, and hypothesis testing.
Excellent written and verbal communication skills.
Proficiency with Microsoft Office, especially Excel, Word, and PowerPoint.
Must be eligible to obtain and maintain a Top Secret U.S. Government security clearance; U.S. citizenship is required for clearance eligibility.
Must obtain a Top Secret clearance within one year from the date of hire.
Must work onsite a minimum of four days per week.

Nice To Haves

Master's degree in Economics, Mathematics, Statistics, Finance, Business, Operations Research, Data Analytics, Data Science, Systems Engineering, or another engineering field.
Proficiency in additional programming languages, including SQL or Java.
Familiarity with data engineering and orchestration methods, such as APIs and LLM endpoint management.
Familiarity with software engineering best practices and agile DevOps development processes.
Experience with econometric or economic modeling and analysis.
Working knowledge of federal budgeting and spending processes and data, including Planning, Programming, Budgeting, and Execution (PPBE) and OMB Circular A-11.
Knowledge of acquisition reform and PPBE reform initiatives.
Knowledge of Federal Acquisition Regulations.
Knowledge of Capital Planning and Investment Control (CPIC).
Experience with federal spending data, including USASpending.gov, SAM.gov, or FPDS-NG.
Experience in investment modeling and analysis, cost-benefit analysis, handling large datasets for data-driven analysis, policy and investment analysis, and economic analysis supporting regulatory policy, pre- and post-implementation analysis, forecasting, and applied research.
Expertise and experience in data engineering and cloud computing, including AWS or Microsoft Azure.
Cost estimating experience, including developing Independent Government Cost Estimates (IGCEs) or using parametric cost estimating tools such as PRICE or SEER SEM.
Source selection cost evaluation experience.
ICEAA or Defense Acquisition Workforce Initiative Act (DAWIA) certification.
An active Top Secret security clearance.

Responsibilities

Identify information sources and gather quantitative and qualitative data to support decisions affecting MITRE and government sponsors.
Apply exploratory data analysis, time-series analysis, linear regression, text analysis, and machine learning.
Draw conclusions from analyses and clearly communicate key findings in writing and verbally.
Help develop data visualizations that improve presentation of complex datasets and analyses.
Translate unstructured data and nontraditional information sources into business insights.
Support investment, economic, and decision analyses, including business case, cost/benefit, alternatives, and portfolio analyses.
Support strategic business and financial analyses, including economic studies, cost recovery strategies, budget development and planning, and affordability analysis.
Assess government and industry cost estimates and economic analyses.
Work with sponsors and multidisciplinary teams to frame analytic problems, prioritize tasks, and report findings for strategic and operational decision-making.
Develop analytic tools, dashboards, or reusable capabilities to support ongoing decision-making.
Deliver findings through written reports, presentations, and in-person briefings to technical and non-technical audiences.
Independently identify and elevate relevant issues, risks, findings, and opportunities to senior team members.