Senior Data Scientist

About This Opportunity

Our talent team is representing a confidential federal healthcare organization seeking a Senior Data Scientist to drive advanced analytics, predictive modeling, and AI-enabled solutions. This position supports critical healthcare programs through transforming complex data assets into actionable insights that improve operational decision-making, patient outcomes, and enterprise reporting capabilities.

You'll collaborate with business stakeholders, data engineers, analysts, and program leadership to design, develop, and operationalize advanced analytical solutions within a complex federal data environment. The role requires deep expertise in statistical analysis, machine learning, data engineering concepts, and healthcare analytics.

Responsibilities

• 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
• 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
• Partner with data engineers and architects to integrate data across diverse systems, databases, APIs, and enterprise platforms
• Present analytical findings, model outputs, and recommendations to technical and non-technical stakeholders
• Develop executive-level briefings, data visualizations, and decision-support materials
• Create and maintain documentation for analytical methods, models, data sources, assumptions, and validation procedures
• Mentor junior data scientists, analysts, and technical team members

What We're Looking For

Required Qualifications:

• Bachelor's degree in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, Engineering, Healthcare Informatics, or related field
• 8+ 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 (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
• Excellent written and verbal communication skills
• Authorized to work in the U.S. indefinitely without sponsorship
• Ability to obtain a Public Trust clearance

Preferred Qualifications:

• Master's degree or PhD in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, Engineering, Healthcare Informatics, or related discipline
• Experience supporting 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

How We Work With You

When you apply through Get A Job.ai, our recruiting team will review your qualifications and conduct an initial screening. If there's a strong match, we'll submit your profile to our client for consideration. Please do not contact the client directly—all communication and coordination will flow through our team to ensure the best experience for you throughout the hiring process.

Pay

Pay via Get A Job.ai: $100,000 - $140,000

Actual compensation will be determined by a combination of factors, including your education, knowledge, skills, experience, geographic location, and organizational requirements.

Equal Employment Opportunity: Get A Job.ai is committed to fair and equitable hiring practices. All qualified applicants receive consideration without regard to race, color, religion, sex, national origin, age, disability, genetic information, or other protected status.