Senior Data Scientist

CVS HealthNew York, NY
1d

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 Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions Interacts with internal and external peers and managers to exchange complex information related to areas of specialization Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions Use strong programming skills to explore, examine and interpret large volumes of data in various forms

Requirements

  • 3+ years of relevant analytic experience
  • Experience programming using R or Python
  • Familiar with experiment design and causal inference

Nice To Haves

  • Demonstrates strong ability to communicate technical concepts and implications to business partners
  • Anticipates and prevents problems and roadblocks before they occur
  • Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources
  • Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analysis, and predictive modeling and in-depth specialization in some areas
  • Master’s degree or PhD preferred

Responsibilities

  • Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes
  • Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry
  • Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics
  • Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions
  • Interacts with internal and external peers and managers to exchange complex information related to areas of specialization
  • Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions
  • Use strong programming skills to explore, examine and interpret large volumes of data in various forms

Benefits

  • Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
  • No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
  • Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
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