Senior Data Scientist

Prometheus Federal Services (PFS) is a trusted partner of federal health agencies. We are seeking aSenior Data Scientistto support Department of Veterans Affairs (VA) programs through advanced analytics predictive modeling data science and AI-enabled solutions. This role will focus on transforming complex VA data assets into actionable insights that support operational decision-making healthcare outcomes data modernization initiatives and enterprise reporting.

The Senior Data Scientist will collaborate with business stakeholders data engineers analysts and program leadership to design develop and operationalize advanced analytical solutions. The ideal candidate brings deep expertise in statistical analysis machine learning data engineering concepts and healthcare analytics along with experience working within complex federal data environments.

Data Science Advanced Analytics & AI/ML

• Develop and implement advanced analytical models to identify trends patterns risks and opportunities within large and complex datasets.
• Design build and deploy machine learning models to support predictive and prescriptive decision-making.
• Apply statistical techniques and data science methodologies to solve complex business and operational challenges.
• Develop forecasting classification clustering anomaly detection and optimization models to support program objectives.
• Support AI-enabled analytical solutions that improve operational insight performance measurement and resource planning.
• Evaluate emerging AI machine learning and advanced analytics technologies for applicability within VA environments.
• Develop model monitoring and evaluation frameworks to ensure accuracy stability explainability and performance.

Data Exploration Preparation & Feature Engineering

• Conduct exploratory data analysis (EDA) to uncover patterns anomalies and key business drivers.
• Perform data profiling and quality assessments to identify issues impacting analytical outcomes.
• Develop feature engineering strategies to improve model performance and business relevance.
• Prepare and transform structured and semi-structured datasets for advanced analytical applications.
• Collaborate with data engineering teams to establish scalable analytical datasets and model-ready data pipelines.

Data Integration Engineering & Architecture Collaboration

• Partner with data engineers and architects to integrate data across diverse VA systems databases APIs and enterprise platforms.
• Support the design and optimization of data pipelines and analytical workflows.
• Contribute to data modeling efforts that improve accessibility scalability and performance of analytical solutions.
• Assist in developing reusable analytical frameworks and data science assets across programs.
• Ensure analytical solutions align with data governance security and compliance requirements.

Business Partnership Strategy & Communication

• Translate business questions policy objectives and operational needs into analytical approaches and measurable outcomes.
• Present analytical findings model outputs and recommendations to technical and non-technical stakeholders.
• Develop executive-level briefings data visualizations and decision-support materials.
• Partner with program leadership to identify opportunities to transition from descriptive reporting to predictive and prescriptive analytics.
• Communicate model assumptions limitations and risks to stakeholders in a clear and understandable manner.

Governance Documentation & Continuous Improvement

• Develop and maintain documentation for analytical methods models data sources assumptions and validation procedures.
• Support analytical governance and best practices related to model lifecycle management and reproducibility.
• Participate in peer reviews and quality assurance activities for analytical products.
• Continuously evaluate new methodologies and technologies to improve analytical capabilities and program outcomes.
• Mentor junior data scientists analysts and technical team members.

• Bachelors degree in Data Science Statistics Computer Science Applied Mathematics Operations Research Engineering Healthcare Informatics or a related field.
• 710 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.

• Masters 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.

Compensation & Benefits

PFS offers a benefits package that may include health dental and vision coverage; flexible spending accounts; disability and life insurance; a retirement plan; paid time off; and other programs to support employees and their moreabout PFS Benefits.

The posted salary range is the companys good-faith estimate for this role. PFS benefits and compensation are determined by various factors including but not limited to location; the individuals particular combination of education knowledge skills competencies and experience; as well as contract and organizational requirements.

Equal Employment Opportunity

All qualified applicants will receive consideration for employment without regard to race color religion sex parental status national origin age disability genetic information political affiliation military service or other status protected by law.

Accommodations

PFS is committed to providing equal employment opportunities to all applicants. If you require a reasonable accommodation during the application or interview process please contact us at Reasonable accommodations are available to ensure applicants with disabilities have equal access to the hiring process in accordance with the Americans with Disabilities Act (ADA) and applicable laws.

Workplace Health Safety and Compliance

This position may be subject to clientspecific or governmentmandated vaccination health or safety requirements which may change over time.

Texting Privacy Policy and Information:

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