Data Scientist
Role details
Job location
Tech stack
Requirements
The Senior Data Scientist will lead complex analytics efforts across the full solution lifecycle-from problem definition and requirements development through design, implementation, deployment, and ongoing operations and maintenance (O&M). The ideal candidate brings deep technical expertise, strong mission awareness, and the ability to communicate analytic insights to senior decision-makers.\n, * Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field with 15+ years of relevant experience, or Bachelor's degree with 18+ years of relevant experience\n
- Extensive experience applying data science and advanced analytics to complex, mission-focused problems\n
- Expert-level proficiency in Python and/or R, including advanced data science and machine learning libraries\n
- Strong experience working with large, complex datasets from multiple sources\n
- Demonstrated ability to lead technical efforts and influence analytic direction on large or complex programs\n
- Strong written and verbal communication skills, including briefing senior leaders\n
- Must hold an active TS/SCI clearance with Polygraph\n, * Experience supporting intelligence community, Department of Defense, or other national security customers\n
- Experience operating in classified computing environments\n
- Expertise in one or more advanced domains such as machine learning, natural language processing, computer vision, graph analytics, or predictive modeling\n
- Experience with cloud-based or enterprise analytics platforms\n
- Demonstrated experience mentoring technical staff or serving as a technical lead\n
- Demonstrated experience providing instruction, instructional design, or curriculum development\n
Benefits & conditions
n \nPrimary Responsibilities\n \n \n
- Serve as a senior technical contributor and analytic lead on complex, high-impact national security programs\n
- Partner with government customers and subject matter experts to define mission problems and analytic objectives\n
- Translate ambiguous operational challenges into actionable data science requirements and solution designs\n
- Design, develop, and deploy advanced analytics, statistical models, and machine learning solutions\n
- Apply advanced data science techniques including exploratory data analysis, feature engineering, predictive modeling, hypothesis testing, and algorithm development\n
- Integrate structured and unstructured data from diverse sources across classified environments\n
- Communicate analytic findings, insights, and recommendations to senior technical and non-technical stakeholders\n
- Support deployment, monitoring, and ongoing operations and maintenance (O&M) of analytic solutions\n
- Mentor and guide junior data scientists and contribute to analytic standards, best practices, and reusable frameworks\n
- Maintain awareness of emerging data science, AI, and big-data technologies relevant to national security missions\n