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. Aetna Resources LLC, a CVS Health company, is hiring for the following role in New York, NY: 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, Mathematics, Analytics, Biostatistics, Public Health, or a related field
- Completion of a university-level course, research project, internship, or thesis in Analyzing large data sets from multiple data sources
- Completion of a university-level course, research project, internship, or thesis in Data analysis for health care industry, products, or systems
- Completion of a university-level course, research project, internship, or thesis in Marketing analytics, clinical trials, or health research
- Analytics experience within the retail and/or healthcare industries
- Machine learning, statistical analysis, and predictive modeling
- Programming in R, Hadoop, or Python
- SAS or SQL programming languages
- Visualization tools, including PowerBI or Tableau
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, 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) or vacation pay
- Paid holidays
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What This Job Offers
Job Type
Full-time
Career Level
Senior
