Senior Data Scientist
$100,000–$140,000 year
On-siteFairfax, Virginia, United States
Job Summary
Develop and implement advanced analytical models, including machine learning and forecasting, to identify trends and support predictive decision-making within large VA datasets. Conduct exploratory data analysis, perform feature engineering, and prepare structured data for scalable analytical pipelines while collaborating with data engineers. Translate business objectives into measurable outcomes by presenting findings to technical and executive stakeholders. Mentor junior team members and maintain documentation for model governance and lifecycle management. Requires 7–10 years of experience, Python and SQL proficiency, and Public Trust clearance.
Required Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, Engineering, Healthcare Informatics, or a related field
- 7–10 years of experience in data science, advanced analytics, machine learning, or related technical roles
- Strong proficiency in Python for data science and machine learning applications (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch, or similar)
- Advanced knowledge of statistical methods, predictive modeling, and machine learning techniques
- Strong proficiency in SQL for data extraction, transformation, and analysis
- Experience developing and validating machine learning models, including classification, regression, clustering, forecasting, and anomaly detection
- Experience conducting exploratory data analysis and communicating insights to diverse audiences
- Familiarity with model evaluation techniques, performance metrics, and validation methodologies
- Experience working with large-scale structured and semi-structured datasets
- Understanding of data engineering concepts, including ETL/ELT processes, data pipelines, and cloud-based data platforms
- Strong problem-solving, critical thinking, and analytical skills
- Excellent written and verbal communication skills
- Authorized to work in the U.S. indefinitely without sponsorship
- Ability to obtain a Public Trust clearance
Desired Qualifications
- Master's degree or PhD in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, Engineering, Healthcare Informatics, or a related discipline
- Experience supporting the Department of Veterans Affairs (VA), Veterans Health Administration (VHA), or other federal healthcare agencies
- Experience working with healthcare, clinical, claims, operational, or population health datasets
- Experience with cloud-based analytics platforms such as Azure Synapse, Azure Machine Learning, Databricks, AWS, or comparable environments
- Familiarity with Power BI, Tableau, or other business intelligence and visualization platforms
- Experience supporting enterprise data modernization, governance, or digital transformation initiatives
- Experience developing explainable AI (XAI) and responsible AI solutions in regulated environments
- Experience mentoring and leading technical teams or analytical workstreams
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