Senior Data Scientist
$107,900–$195,050 year
On-site · Gaithersburg, Maryland, United States or Alexandria, Virginia, United States
Job Summary
Senior Data Scientist needed to support a DoD enterprise data and analytics program. Lead extraction of insights from operational data, develop and deploy advanced statistical models and ML solutions, design predictive models and analytical frameworks, and build real-time anomaly detection. Collaborate with engineering and functional teams to ensure scalable data pipelines, integrate models into DevSecOps pipelines, and maintain documentation and dashboards. Ensure responsible AI practices including bias detection, explainability, and performance monitoring. Participate in PI Planning, backlog refinement, sprint reviews, and alignment with program objectives. Establish modeling standards and analytical quality governance while fostering a collaborative, mission-focused analytics culture. Requires active private-sector or government security clearance (S) with ability to obtain TS/SCI, a relevant STEM degree, and 6–12+ years of experience in data science/data engineering; strong Python/R/SQL skills; experience with Hadoop/Spark; experience deploying ML models in enterprise environments; familiarity with cloud environments and data governance.
Required Qualifications
- Active Secret (S) clearance with ability to obtain TS/SCI
- Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or related technical discipline and 8–12 years of relevant experience OR Master’s degree in a related field and 6–10 years of relevant experience
- Minimum of 8 years of experience in data science, data engineering, or a related field
- Strong proficiency in Python, R, SQL or similar analytical programming languages
- Experience with data engineering tools and platforms, such as Hadoop, Spark, or similar
- Experience developing and deploying machine learning and statistical models in enterprise environments
- Proven experience in designing and developing predictive models and data-driven analytical frameworks
- Experience performing data exploration, feature engineering, model validation, and performance tuning
- Knowledge of data security policies, including data encryption and access controls
- Experience with data governance frameworks and compliance enforcement
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
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