Senior Data Scientist

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Prometheus Federal Services (PFS)

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Prometheus Federal Services (PFS) is a Service-Disabled Veteran-Owned Small Business (SDVOSB) dedicated to transforming healthcare for federal agencies. Founded in 2014, PFS leverages research and data analytics to enhance healthcare access, quality, and outcomes for Service Members, Veterans, and their families. By partnering with government entities like the Department of Veterans Affairs, PFS provides innovative solutions and strategic support in areas such as healthcare transformation, program management, and quality improvement, aiming to ensure that Veterans receive the best possible care and service.

📋 Description

• 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 for predictive and prescriptive decision-making • Apply statistical techniques and data science methodologies to complex business and operational challenges • Develop forecasting, classification, clustering, anomaly detection, and optimization models • Support AI-enabled analytical solutions for operational insight, performance measurement, and resource planning • Evaluate emerging AI, machine learning, and advanced analytics technologies for VA environments • Develop model monitoring and evaluation frameworks for accuracy, stability, explainability, and performance • Conduct exploratory data analysis, data profiling, quality assessments, and feature engineering • Prepare and transform structured and semi-structured datasets • Collaborate with data engineers and architects on scalable analytical datasets, data pipelines, integration, and data modeling • Ensure analytical solutions align with data governance, security, and compliance requirements • 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 transition from descriptive reporting to predictive and prescriptive analytics • Communicate model assumptions, limitations, and risks clearly • Maintain documentation for analytical methods, models, data sources, assumptions, and validation procedures • Support analytical governance, model lifecycle management, and reproducibility • Participate in peer reviews and quality assurance activities • Evaluate new methodologies and technologies to improve analytical capabilities and program outcomes • Mentor junior data scientists, analysts, and technical team members

🎯 Requirements

• 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, including 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 • Preferred: Master's degree or PhD in a related discipline • Preferred: Experience supporting the Department of Veterans Affairs, Veterans Health Administration, or other federal healthcare agencies • Preferred: Experience with healthcare, clinical, claims, operational, or population health datasets • Preferred: Experience with Azure Synapse, Azure Machine Learning, Databricks, AWS, or comparable environments • Preferred: Familiarity with Power BI, Tableau, or other business intelligence and visualization platforms • Preferred: Experience supporting enterprise data modernization, governance, or digital transformation initiatives • Preferred: Experience developing explainable AI and responsible AI solutions in regulated environments • Preferred: Experience mentoring and leading technical teams or analytical workstreams

🏖️ Benefits

• Health, dental, and vision coverage • Flexible spending accounts • Disability and life insurance • Retirement plan • Paid time off • Other programs to support employees and their families