Data Scientist, Mid
Listed on 2026-05-22
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IT/Tech
Data Scientist, Machine Learning/ ML Engineer
Data Scientist, Mid
We are looking for a data scientist to help unlock insights from complex datasets across multiple sectors including fraud detection, cancer research, and national intelligence.
Responsibilities• Work closely with clients to understand their questions and data needs.
• Analyze and clean large structured and unstructured datasets.
• Develop predictive models, quantitative analyses, and visualizations.
• Lead the design and implementation of algorithms and systems.
• Present findings to non‑technical audiences and advise decision makers.
Qualifications- 3+ years of experience with data exploration, cleaning, analysis, visualization, or mining.
- Experience with Python, R, and SQL.
- Experience with Power BI or Tableau.
- Experience developing predictive models and quantitative analyses.
- Experience leading solution development for complex programs.
- Experience with natural language processing, text mining, or machine learning techniques.
- Knowledge of intelligence analysis processes, requirements, and challenges.
- Active TS/SCI clearance; willingness to take a polygraph exam.
- Bachelor’s degree in data science, computer science, statistics, or mathematics.
- Experience working in a DoW or IC environment.
- Strong communication skills for non‑technical audiences in a collaborative setting.
- Ability to transform poorly defined problems into well‑defined questions.
- Demonstrated flexibility, initiative, and innovation in an ambiguous, fast‑paced environment.
- TS/SCI clearance with a polygraph.
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
CompensationSalary range: $77,600.00 to $ (annualized USD). Compensation is determined by location, education, skills, experience, and contract requirements.
BenefitsBenefits include health, life, disability, financial, retirement, paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Full‑time and part‑time employees working at least 20 hours a week are eligible.
Work ModelRemote, hybrid, or onsite arrangements apply; specifics depend on the role and client requirements.
Commitment to Non‑DiscriminationAll qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other protected status.
Application will close within 90 days from posting date.
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