Senior Data Scientist - Risk Prediction

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.Join our team of healthcare data scientists as we develop the next generation of risk prediction models. We're looking for data scientists to leverage their analytical & machine learning skills to help provide insights & model solutions to stakeholders across the CVS Health & Aetna organizations.Our team routinely utilizes petabytes of data paired with extensive industry knowledge of actuarial partners to develop best-in-class machine learning models. We're looking to expand our team as we tackle more numerous & diverse use cases of the models we have been refining for nearly a decade now. You can help us overcome new challenges & build new solutions via the latest machine learning techniques. The team is looking for candidates with a passion for problem solving & quantitative analysis.We are especially interested in candidates who embrace emerging technologies and can thoughtfully incorporate AI into their data science processes to drive efficiency, insight, and innovation.Overview:

• Demonstrated ability to integrate AI-powered solutions into data science workflows, including data preparation, feature engineering, modeling, and reporting
• Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes
• Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry
• Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics
• Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions
• Interacts with internal and external peers and managers to exchange complex information related to areas of specialization
• Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions
• Use strong programming skills to explore, examine and interpret large volumes of data in various forms
• Extensive experience with SQL, Python, Spark & Cloud computing (AWS, GCP, MS Azure)

• Bachelor's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline
• 3+ years of professional experience in data analytics, BI, data engineering or applied data science
• 3+ years of experience with SQL and Python/R

• Master's or PhD degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline
• 5+ years of professional experience in data analytics, BI, data engineering or applied data science
• 5+ years of experience with SQL and Python/R

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.