Intermediate Data Scientist

About the Role

MITRE is seeking an Intermediate Data Scientist to transform large volumes of Department of Justice (DOJ) sponsor data into actionable insights and recommendations. This role involves working under senior technical staff and project leadership, using hands-on coding and data analysis to investigate mission questions, identify improvements, and develop evidence-based recommendations. The position supports work at the intersection of mission, operations, and artificial intelligence, offering a recent master's graduate an opportunity to develop technical skills while contributing to real-world mission challenges. This role requires on-site presence in the District of Columbia, with occasional travel.

Key Responsibilities

• Collaborate with senior technical staff and project leadership to understand sponsor needs and translate mission questions into analytical tasks.
• Utilize Python, SQL, and related tools for data access, cleaning, combination, and analysis of large datasets.
• Explore data to identify patterns, trends, and opportunities for sponsor capability and operational improvements.
• Apply statistical methods and develop analytical models (with guidance) to assess findings and support recommendations with evidence.
• Create visualizations and dashboards using tools such as Power BI to present findings effectively.
• Develop actionable recommendations, assess their potential benefits and limitations, and outline implementation strategies for the sponsor.
• Prepare reports and presentations to communicate evidence supporting recommendations and facilitate informed decision-making.
• Maintain organized code, document data sources and analytical methods, and use version control for review, reproduction, and updates.
• Participate in peer reviews, incorporate feedback, and communicate progress, questions, and data limitations to the team.
• Develop familiarity with sponsor mission technologies, including identity management, biometrics, information management, and artificial intelligence.

Requirements & Tech Stack

• U.S. citizenship required for a Top-Secret clearance.
• Foundational experience using Python or a comparable programming language for data analysis.
• Familiarity with SQL and relational databases.
• Understanding of basic statistical concepts and methods.
• Ability to communicate analytical findings clearly through writing, visualizations, and presentations.
• Organizational skills and attention to detail for documentation and reproducible work.
• Ability to work collaboratively, incorporate feedback, and complete tasks under guidance.
• Ability to obtain sponsor network accounts (unclassified and classified).
• Ability to meet on-site requirements and travel occasionally.
• No prior full-time professional experience is required.

Qualifications

• Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related technical field.

Preferred Qualifications (may be demonstrated through coursework, projects, internships, or undergraduate research):

• Experience using Python and SQL for data preparation and analysis.
• Experience creating dashboards or visualizations in Power BI or Tableau.
• Experience using Git or other version control tools.
• Experience applying statistical or machine learning methods to practical questions and evaluating results.
• Experience translating analytical findings into recommendations and presenting supporting evidence.
• Exposure to biometrics, identity matching, name matching, or human-language technologies.