Intermediate Data Scientist

The Mitre Corporation•Washington, DC

1d•$98,800 - $148,200•Onsite

About The Position

MITRE is seeking an Intermediate Data Scientist to turn large volumes of Department of Justice sponsor data into meaningful insights and actionable recommendations. The role involves hands-on coding and data analysis to investigate mission questions, identify opportunities for improvement, and develop evidence supporting recommended actions. Working under senior technical staff and in coordination with project leadership, the selected candidate will prepare reproducible analyses, visualizations, models, and presentations to help sponsors understand findings and put recommendations into practice. The position operates at the intersection of mission, operations, and artificial intelligence, and offers a recent master's graduate the opportunity to develop technical skills while contributing to real-world mission challenges. The role requires on-site presence between MITRE and sponsor space in the District of Columbia, consistent with corporate policy; occasional travel may be required. The position is in MITRE Technology and Engineering’s Trusted Intelligence & Public Safety Software Systems (TIPSS) Department and supports work led by the Domestic Security & Strategic Intelligence Division. TIPSS partners with DSSI departments to address sponsor challenges critical to national security, applying capabilities across law enforcement, analytics, data strategy and management, investigative operations, prototyping, biometrics, and mission solutions.

Requirements

U.S. citizenship; the position requires having and maintaining a Top Secret clearance.
Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related technical field.
Foundational experience using Python or a comparable programming language for data analysis, demonstrated through coursework, academic projects, internships, research, or personal projects.
Familiarity with SQL and relational databases.
Understanding of basic statistical concepts and methods for exploring, analyzing, and interpreting data.
Ability to communicate analytical findings clearly through writing, visualizations, and presentations.
Organizational skills and attention to detail sufficient to maintain clear documentation and reproducible analytical work.
Ability to work collaboratively, incorporate feedback, and complete assigned tasks under the guidance of experienced staff.
Ability to obtain accounts on the sponsor’s unclassified and classified networks.
Ability to meet on-site requirements consistent with corporate policy and travel occasionally as needed.
Ability to obtain or maintain the required Top Secret/SCI/Polygraph clearance within the stated requirements.

Nice To Haves

Experience using Python and SQL to prepare and analyze data, gained through coursework, projects, internships, or undergraduate research.
Experience creating dashboards or visualizations in Power BI or Tableau.
Experience using Git or other version control tools to manage code changes.
Experience applying statistical or machine learning methods to practical questions and evaluating the reliability of results.
Experience turning analytical findings into recommendations and presenting supporting evidence.
Exposure to biometrics, identity matching, name matching, or human-language technologies.

Responsibilities

Work with senior technical staff and project leadership to understand sponsor needs and translate mission questions into focused analytical tasks.
Use Python, SQL, and related tools to access, clean, combine, and analyze large datasets.
Explore data to identify patterns, trends, and opportunities to improve sponsor capabilities and operations.
Apply statistical methods and develop analytical models, with guidance, to assess findings and support recommendations with sound evidence.
Create visualizations and dashboards using tools such as Power BI to make findings understandable and useful.
Help develop actionable recommendations, assess their expected benefits and limitations, and identify how the sponsor could put them into practice.
Prepare reports and presentations that explain the evidence behind recommendations and help sponsors make informed decisions and adopt improvements.
Maintain organized code, document data sources and analytical methods, and use version control so analyses can be reviewed, reproduced, and updated.
Participate in peer reviews, incorporate feedback, and communicate progress, questions, and data limitations to the team.
Build familiarity with the sponsor’s mission and relevant technologies in identity management, biometrics, information management, and artificial intelligence.