Note: The job is a remote job and is open to candidates in USA. CVS Health is dedicated to shaping a more connected and compassionate health experience. The Senior Data Scientist will drive innovation by building analytical platforms and supporting business decisions through data-driven insights.
Responsibilities
- Drive innovation directly impacting business decisions
- Build analytical cloud-based platforms
- Support pharmaceutical forecasting and pricing
- Modernize legacy systems using cutting edge technology
- Work with teammates from business groups, product management, data engineering, and application development
- Create analytics products that are a combination of software, data, and other digital tools providing insights and recommendations to business leaders
- Leverage a combination of descriptive, predictive, and prescriptive analytics approaches
Skills
- 3 or more years of relevant analytic experience
- 3 or more years of experience programming using R, Python, SQL
- 3 or more years of experience with dimension reduction, machine learning, and statistical algorithms
- Bachelor's Degree in Data Science, Computer Science, Applied Mathematics, Operation Research, Statistics, Health Policy, or related field
- Advanced knowledge level for SQL
- 3+ years of experience applying modern machine learning techniques to build predictive models for both classification and regression problems using python libraries such as scikit-learn, ml-lib, xgboost, keras etc
- 3+ years' experience with general linear models, including regression techniques, ensemble models, etc
- 3+ years of experience coding in Python, including PySpark, pandas
- Experience with time series forecasting and causal modeling techniques
- Knowledge of full model development life cycle including EDA, feature engineering, data visualization, model development and deployment, forecast accuracy, model monitoring, model drift
- Experience with pharmaceutical or other healthcare domain with large administrative claims datasets including their associated code sets, terminologies, and ontologies
Benefits
- Eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families
- Medical, dental, and vision coverage, based on eligibility
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources, based on eligibility
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