Associate Data Scientist

About the Role

MITRE's Systems Performance and Evaluation Department is seeking an Associate Data Scientist to advance and apply innovative data science and analytical techniques to solve critical national challenges. This role involves supporting the development and deployment of nationally important solutions through various practices including Analytics, Data Science, Machine Learning, and Systems Thinking.

Key Responsibilities

• Use understanding of data science, systems and mission engineering, and quantitative methods to identify areas for MITRE impact.
• Apply methods such as Data Science, Machine Learning, Data Analytics, Model-Based Systems Engineering, Digital Engineering, Mission Engineering, and Mathematical Modeling to assess needs, requirements, architecture, and performance.
• Evaluate and compare alternative architectures and approaches using qualitative and quantitative techniques.
• Identify and develop metrics and analytical methods to measure system and data properties like robustness, resiliency, and interoperability.
• Support requirements management, interface management, and architecture change management.
• Perform data analysis, modeling, and system design and development, including software development and systems modernization.
• Support multiple tasks across government-sponsored projects in team environments.

Requirements & Tech Stack

• Python
• MATLAB
• Model-Based Systems Engineering (MBSE)
• Digital Engineering (DE)
• Statistical Analysis
• Data Analysis
• Modeling

Qualifications

• Bachelor’s degree in data science, Computer Science, Mathematics, Statistics, Physics, Engineering, Software Engineering, or a related technical field.
• Typically requires less than 1 year of related experience with a related bachelor’s degree, or equivalent combination of related education and work experience.
• Familiarity with programming languages and analytical tools.
• Familiarity with Model-Based Systems Engineering (MBSE) and Digital Engineering (DE) concepts.
• Experience with statistical analysis, data analysis, and modeling.
• Interest in complex, multi-disciplinary data and analytical problems.
• Willingness and ability to learn new tools and concepts.
• This position requires a minimum of 3 days a week on-site.

Preferred Qualifications

• Preference given to qualified candidates with active clearance.
• Advanced degree in a related field of study.
• Experience with multi-disciplinary modeling and simulation.
• Experience with Digital Engineering integration through internship, research, or academic projects.

Compensation

• Salary compensation range: $80,000 - $120,000 Annual
• Midpoint: $100,000 Annual

Work Location

• Onsite