The Senior Data Scientist within CVS Health is on the front line of driving innovation, directly impacting business decisions.
This role is part of a team that works across the Pharmacy Benefits Management ecosystem building analytical cloud-based platforms, supporting pharmaceutical forecasting and pricing.
You will have a chance to modernize legacy systems using cutting edge technology.
You will work with teammates from our business groups, product management, data engineering, and application development, as well as with your peers from partner data science groups.
This role will create analytics products that are a combination of software, data, and other digital tools providing insights and recommendations to business leaders making tactical and strategic decisions.
The analytics products may leverage a combination of descriptive, predictive, and prescriptive analytics approaches.

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
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

Senior Data Scientist

Key skills