Sr. Data Scientist
About The Position
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.
Requirements
- 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
- Applying statistical and analytic methods to empirical data sets
Responsibilities
- 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 HealthCare business
- develop advanced algorithms and 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
- support deployment of insights across multiple channels using analysis methods, machine learning, and statistical analyses
Benefits
- medical, dental, and vision benefits
- 401(k) retirement savings plan
- Employee Stock Purchase Plan
- fully-paid term life insurance plan
- short-term and long term disability benefits
- numerous well-being programs
- education assistance
- free development courses
- CVS store discount
- discount programs with participating partners
- Paid Time Off (“PTO”)
- vacation pay
- paid holidays
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What This Job Offers
Job Type
Full-time
Career Level
Senior
