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 Woonsocket, RI: Sr. Data Scientist to develop and implement analytics applications and models to transform data into meaningful information.
Requirements
- Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Engineering, Analytics, or a related field and two (2) years of experience in the job offered or related occupation.
- Programming in Java, Python, or R
- SAS and SQL programming languages
- Machine learning, statistical analysis, and predictive modeling
- Contributing to largescale applications development, data science, or data analytics projects
- Data analytics on large data sets in healthcare, business, or retail sector
- Feature engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation
- Quantitative analysis techniques, including clustering, regression, and pattern recognition.
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 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
- support deployment of insights across multiple channels using analysis methods, machine learning, and statistical analyses.
Benefits
- medical
- dental
- vision
- 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
