Senior Data Scientist

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

📋 Description

• Collaborate with Utilization Management, clinical, and business teams to uncover opportunities for enhancing healthcare quality, member outcomes, affordability, and provider experience.

• Create, develop, validate, and execute predictive models for assessing clinical risk, utilization trends, quality gaps, and potential intervention strategies.

• Utilize statistical modeling, machine learning, and analytical techniques to influence population health and healthcare decision-making.

• Construct and sustain analytical datasets and features using medical, pharmacy, laboratory, and provider claims data.

• Convert intricate healthcare business challenges into analytical solutions in partnership with clinicians, clinical informaticists, and business stakeholders.

• Assess model performance and convey actionable insights and recommendations to both technical and non-technical audiences.

• Investigate and expand innovative analytical methodologies to enhance healthcare results and operational efficiency.

• Contribute to the establishment of data science best practices, modeling standards, and reusable analytical frameworks.

• Effectively manage work independently in a dynamic and occasionally ambiguous environment.

• Report directly to the Associate Director of Data Science.

⛳️ Requirements

• Master's degree in Statistics, Biostatistics, Data Science, Economics, Mathematics, Computer Science, Clinical Informatics, or a related quantitative field.

• Over 4 years of experience in developing, validating, and implementing predictive models within healthcare, managed care, population health, or a similar setting.

• Proven experience in independently creating predictive models that have impacted clinical, operational, or financial outcomes.

• Advanced skills in Python, R, SAS, or equivalent programming languages for statistical analysis and machine learning.

• Experience working with large, intricate healthcare datasets, including claims, clinical, pharmacy, or laboratory data.

• Understanding of statistical modeling, machine learning, model validation, and performance evaluation methodologies.

• Ability to translate complex analytical results and recommendations to both technical and non-technical stakeholders.

• Preferred: experience in predictive modeling for risk stratification, utilization management, care management, or value-based care.

• Preferred: experience in a managed care environment.

• Preferred: knowledge of causal inference, causal machine learning, NLP, or deep learning techniques.

• Preferred: familiarity with Spark or PySpark.

• Preferred: experience in deploying and monitoring machine learning models in a production setting.

• Preferred: knowledge of healthcare claims, clinical, pharmacy, laboratory, or EMR data such as Epic.

• Minimum internet speed of 25 Mbps download and 10 Mbps upload for remote work.

• A dedicated workspace free from ongoing interruptions to ensure the protection of PHI/HIPAA information.

🏝️ Benefits

• Bonus incentive plan.

• Medical benefits.

• Dental benefits.

• Vision benefits.

• 401(k) retirement savings plan.

• Paid time off.

• Company holidays.

• Personal holidays.

• Paid parental leave.

• Paid caregiver leave.

• Short-term disability.

• Long-term disability.

• Life insurance.

• Personal wellness support.

• Healthcare decision support for employees and their families.