TS/SCI Data Scientist — Mission Analytics & Modeling

Capital Solutions Group; Annapolis (MD); On-site; USD 100,000 - 150,000; Full time

Job summary

Capital Solutions Group is seeking a Data Scientist (multiple LCAT levels) to leverage data, statistics, and programming to characterize and analyze large, varied datasets at Ft. Meade, MD. Responsibilities include translating mission questions into technical requirements and presenting findings to non-technical audiences.

The role emphasizes building defensible analytic methods, modeling, and providing informed recommendations while accounting for data limitations and evolving capabilities.

Qualifications

• Candidates should demonstrate strong foundations in mathematics, computation, and statistics.
• Experience with data management, visualization, and reproducible workflows is expected.
• Ability to model, assess, and predict data with domain-specific considerations.

Responsibilities

• Apply data science methods to large datasets to derive defensible conclusions.
• Translate mission needs into technical requirements and actionable insights.
• Communicate complex technical information to non‑technical stakeholders.
• Evaluate competing technical solutions while considering data limitations.

Skills

Foundations

Data Processing

Modeling, Inference, and Prediction

Education

Bachelor’s degree + 3 years relevant experience

Associates Degree + 5 years relevant experience

Bachelor’s degree + 10 years relevant experience

Associates Degree + 12 years relevant experience

Bachelor’s degree + 15 years relevant experience

Associates Degree + 17 years relevant experience

Job description

Capital Solutions Group is seeking a Data Scientist (multiple LCAT levels) to leverage data, statistics, and programming to characterize and analyze large, varied datasets at Ft. Meade, MD. Responsibilities include translating mission questions into technical requirements and presenting findings to non-technical audiences.

The role emphasizes building defensible analytic methods, modeling, and providing informed recommendations while accounting for data limitations and evolving capabilities.