Associate Data Scientist

Mitre Corporation; Bridgeport (WV); On-site; USD 80,000 - 120,000; Full time

Job summary

MITRE Corporation in Bridgeport, WV is seeking an Associate Data Scientist for an on-site role to build reproducible analytics that support evidence-based decisions at the intersection of identity management, biometrics, and AI.

You'll collaborate with senior staff, use Python, SQL, and Power BI to access, cleanse, analyze data, and present findings through clear visuals and reports, with an emphasis on reproducibility and secure handling of sensitive information.

Qualifications

• U.S. citizenship required for Top-Secret clearance eligibility.
• Bachelor's degree in a technical field (Data Science/CS/Statistics/Math/Engineering).
• Foundational Python experience for data analysis.
• Familiarity with SQL and relational databases.
• Ability to document work and communicate analyses clearly.
• Ability to obtain sponsor accounts on unclassified/classified networks.

Responsibilities

• Translate sponsor questions into analytical tasks with senior staff.
• Access, clean, combine, and analyze large datasets using Python/SQL.
• Explore data to identify patterns and opportunities for improvement.
• Develop analytical models and support recommendations with evidence.
• Create visualizations and dashboards using Power BI.
• Prepare reports explaining evidence behind recommendations.
• Maintain organized code and version control for reproducibility.
• Participate in peer reviews and communicate progress and data limits.
• Build familiarity with identity management, biometrics, and AI.

Skills

Python

SQL

Power BI

Git

Tableau

Education

Bachelor's degree in Data Science / CS / Statistics / Mathematics / Engineering

Tools

Tableau

Git

Job description

Build reproducible analytics that help a DOJ sponsor improve mission capabilities. In this on-site role in Bridgeport, WV, you will support data-driven decisions through coding, statistical modeling, clear visualizations, and evidence-based recommendations across the intersection of identity management, biometrics, and artificial intelligence.

The Associate Data Scientist position partners with senior technical staff and project leadership to translate sponsor questions into focused analytical tasks. You will work with Python, SQL, and Power BI to access, clean, analyze, and communicate results in a way that is understandable, reviewable, and updatable over time.

Responsibilities

• Partner with senior technical staff and project leadership to understand sponsor needs and convert mission questions into 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 evaluate findings and support recommendations with evidence.
• Create visualizations and dashboards using tools such as Power BI to help make findings useful for decision-making.
• Support actionable recommendations by assessing expected benefits and limitations and identifying practical paths to adoption.
• Prepare reports and presentations that explain the evidence behind recommendations for informed sponsor decisions.
• Maintain organized code, document data sources and analytical methods, and use version control to ensure 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, and artificial intelligence.

Requirements

• U.S. citizenship is required because the role requires obtaining and maintaining a Top-Secret clearance.
• Bachelor'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 to maintain documentation and reproducible analytical work.
• Ability to collaborate, 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 hybrid on-site requirements consistent with corporate policy (minimum 3 days per week) and occasional travel as needed.
• No prior full-time professional experience is required.

Preferred qualifications

• Using Python and SQL to prepare and analyze data.
• Creating dashboards or visualizations in Power BI or Tableau.
• Using Git or other version control tools to manage code changes.
• Applying statistical or machine learning methods to practical questions and evaluating reliability of results.
• Turning analytical findings into recommendations and presenting supporting evidence.
• Exposure to biometrics, identity matching, name matching, or human-language technologies.
• Active Top Secret clearance preferred, but not required to start.

Clearance and eligibility

• In addition to passing MITRE's employment background check, candidates may be submitted for a U.S. Government Security clearance.
• Other roles may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program.
• Minimum clearance required for this requisition: None.
• Required to obtain within one year from hire: Top Secret.

Location: Bridgeport, WV (onsite). Travel: Occasional travel may be required. Compensation: $80,000 - $120,000 annually (midpoint: $100,000). Technologies: Python, SQL, Power BI.