Mission-Focused Data Scientist — ML & Anomaly Detection for Intelligence

Leidos LLC; Fort Meade (MD); On-site; USD 108,000 - 195,000; Full time

Benefits offered by this job

401(k) with 6% match and immediatevest

Paid time off

11 holidays

Flexible schedules

Health and Wellness programs

Job summary

Leidos in Maryland is seeking an experienced Data Scientist to join a multidisciplinary team of analysts and reporters. You will apply machine learning and advanced analytics to complex, sparse datasets to support predictive intelligence and operational impact.

You will develop models with Python and C/C++, translate questions into technical requirements, and communicate findings to technical and non-technical stakeholders, enabling automated analytic workflows and informed decision-making.

Qualifications

• Active TS/SCI clearance required.
• Minimum 10 years of relevant experience with a Bachelor's degree.
• Associate degree with 12 years of relevant experience may be considered.

Responsibilities

• Develop machine learning models to extract insights from large, complex intelligence datasets.
• Translate analytic questions into technical requirements and data-driven solutions.
• Characterize and assess datasets in varying states of structure and quality.
• Provide informed recommendations on technical approaches based on evolving intelligence capabilities and constraints.
• Communicate findings clearly to both technical and non-technical stakeholders and support automated analytics workflow development.

Skills

Analytical thinking

Python

C/C++

Communication

Team collaboration

Education

Bachelor’s degree in Computer Science, Mathematics, Statistics, AI/ML, Data Science, or related field

Associate’s degree with 12 years of relevant experience

Other degrees with strong coursework in advanced math, AI/ML, CS or data mining

Tools

Tableau

Power BI

Python libraries

C/C++

Job description

Leidos in Maryland is seeking an experienced Data Scientist to join a multidisciplinary team of analysts and reporters. You will apply machine learning and advanced analytics to complex, sparse datasets to support predictive intelligence and operational impact.

You will develop models with Python and C/C++, translate questions into technical requirements, and communicate findings to technical and non-technical stakeholders, enabling automated analytic workflows and informed decision-making.