Sr. Data Scientist

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary:

Caremark LLC, a CVS Health company, is hiring for the following role in Chicago, IL:
Sr. Data Scientist to develop and implement analytics applications and models to transform data into meaningful information.

Duties include:

design and develop data solutions using industry leading tools, technologies and best practices to profile data and develop efficient ingestion by sourcing data from PBM, Specialty, Retail, and/or Health Care business; develop advanced algorithms and statistical predictive models to evaluate scenarios, predict outcomes, and provide usable information on health metrics and potential future outcomes; utilize data mining, data modeling, natural language processing, and machine learning to extract and manipulate data from multiple large data sources and deliver predictive models that inform solutions for in-house teams (i.e., pharmacy pricing, medical costs, risk scores, onboarding) and customer engagement across critical journeys (i.e., calories, heart rate, breast cancer, maternity);

utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems; visualize and interpret data and create reports, manipulate data using statistical software, and compare models using statistical performance metrics; and support deployment of insights across multiple channels using analysis methods, machine learning, and statistical analyses.

Multiple positions. Requirements:
Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and three (3) years of experience in the job offered or related occupation. Position requires three (3) years of experience in each of the following: data analytics, statistical modelling, data visualization and reporting with a track record of delivering insights and business impact;

data analysis and visualization tools such as SAS, SPSS, R, Python, SQL, or Tableau; machine learning data mining and other quantitative research analytics such as Non-Linear Regression Analysis, Multivariate Analysis, Bayesian Methods, Generalized Linear Models, Decision Trees and Random Forest, Non Parametric estimations, Neural Networks, or Ensemble Models;
Development of prospective and retrospective study design and evaluation protocols, including study population selection and matching criteria outcome measures definition and statistical methodology;
Developing, implementing, testing, and maintaining methodologies for standardized and repeatable reporting for internal and external audiences;
Coding statistical packages, machine learning algorithms, and building large dataset;
Statistical methodologies, advanced database management and data science;
Constructing, validating, and maintaining predictive models in retail industry settings;
Analysis methodologies, coding in a statistical language such as Python, R, Stata, or SAS; and Applying statistical and analytic methods to empirical data sets. Pay Range: $119558.00/year to $203940.00/year.

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

This position also includes an award target in the company’s equity award program.

In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for…