Sr. Data Scientist

CVS HealthNew York, NY
$111,240 - $222,480Remote

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, Business Analytics, or a related field
  • Completion of a university-level course, research project, internship, or thesis in Java, Python, or Node.js
  • Programming in R
  • Machine learning, statistical analysis, or predictive modeling
  • Designing data models and solutions for analytical and reporting use cases
  • NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP)
  • “Big data” platforms including Hadoop (Azure, GCP, or AWS)
  • Analyzing large data sets from multiple data sources

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

  • CVS Health bonus
  • commission
  • short-term incentive program
  • equity award program
  • medical
  • dental
  • 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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