Senior Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and execute sophisticated analytical models to uncover trends, patterns, risks, and opportunities within extensive and intricate datasets.

• Design, construct, and launch machine learning models aimed at facilitating predictive and prescriptive decision-making.

• Utilize statistical methodologies and data science techniques to address complex business and operational challenges.

• Develop models for forecasting, classification, clustering, anomaly detection, and optimization.

• Provide support for AI-driven analytical solutions that enhance operational insight, performance evaluation, and resource planning.

• Assess emerging AI, machine learning, and advanced analytics technologies suitable for VA environments.

• Establish frameworks for monitoring and evaluating models based on accuracy, stability, interpretability, and performance.

• Conduct exploratory data analysis, data profiling, quality evaluations, and feature engineering.

• Prepare and convert structured and semi-structured datasets for analysis.

• Collaborate with data engineers and architects on the development of scalable analytical datasets, data pipelines, integration, and data modeling.

• Ensure that analytical solutions comply with data governance, security, and compliance standards.

• Translate business inquiries, policy goals, and operational requirements into analytical strategies and measurable results.

• Present analytical insights, model results, and recommendations to both technical and non-technical audiences.

• Create executive-level presentations, data visualizations, and materials to support decision-making.

• Work alongside program leadership to shift from descriptive reporting to predictive and prescriptive analytics.

• Clearly communicate model assumptions, limitations, and associated risks.

• Maintain comprehensive documentation for analytical methods, models, data sources, assumptions, and validation processes.

• Support analytical governance, model lifecycle management, and reproducibility efforts.

• Engage in peer reviews and quality assurance tasks.

• Assess new methodologies and technologies to enhance analytical capabilities and program performance.

• 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 similar technical positions.

• Strong expertise in Python for data science and machine learning applications, including libraries such as pandas, NumPy, scikit-learn, TensorFlow, PyTorch, or similar.

• Advanced understanding of statistical methods, predictive modeling, and machine learning techniques.

• Proficient in SQL for data extraction, transformation, and analysis.

• Experience in developing and validating machine learning models, including classification, regression, clustering, forecasting, and anomaly detection.

• Experience in performing exploratory data analysis and effectively communicating insights to varied audiences.

• Familiarity with model evaluation techniques, performance metrics, and validation practices.

• Experience handling large-scale structured and semi-structured datasets.

• Knowledge of data engineering concepts, including ETL/ELT processes, data pipelines, and cloud-based data platforms.

• Strong problem-solving, critical thinking, and analytical capabilities.

• Exceptional written and verbal communication skills.

• Authorization to work in the U.S. indefinitely without sponsorship.

• Capability to obtain a Public Trust clearance.

• Preferred: Master’s degree or PhD in a relevant field.

• Preferred: Experience working with the Department of Veterans Affairs, Veterans Health Administration, or other federal healthcare agencies.

• Preferred: Background in healthcare, clinical, claims, operational, or population health datasets.

• Preferred: Experience with Azure Synapse, Azure Machine Learning, Databricks, AWS, or similar environments.

• Preferred: Familiarity with Power BI, Tableau, or other business intelligence and visualization tools.

• Preferred: Involvement in enterprise data modernization, governance, or digital transformation projects.

• Preferred: Experience in developing explainable AI and responsible AI solutions within regulated environments.

• Preferred: Experience in mentoring and leading technical teams or analytical projects.

🏝️ Benefits

• Health, dental, and vision insurance coverage.

• Flexible spending accounts.

• Disability and life insurance.

• Retirement savings plan.

• Paid time off.

• Additional programs to support employees and their families.