Senior Data Scientist

$98,717 - $196,000/Yr

CVS Health - Woonsocket, RI

posted 5 months ago

Full-time - Mid Level
Woonsocket, RI
Health and Personal Care Retailers

About the position

Caremark LLC, a CVS Health company, is seeking a Senior Data Scientist to join our team in Woonsocket, RI. In this role, you will be responsible for formulating and applying mathematical and computational modeling methods to facilitate data extraction and manipulation. Your primary duties will include utilizing statistical analyses to evaluate various scenarios and make predictions regarding future outcomes, thereby solving complex business problems and supporting decision-making processes. You will develop, validate, and execute algorithms and predictive models to investigate issues, detect patterns, and recommend effective solutions. As a Senior Data Scientist, you will explore, examine, and interpret large volumes of data in various forms, performing analyses on both structured and unstructured data using advanced statistical techniques and mathematical analyses. You will also be tasked with developing data structures and pipelines to organize, collect, and standardize data, which will help generate insights and address reporting needs. Additionally, you will organize and standardize data visualization techniques to effectively communicate analytical results, generate insights, and support business decisions. Your role will involve evaluating the data needs of assigned projects to ensure data integrity, working with existing data while recommending additional sources for improvements, and documenting projects comprehensively, including business objectives, data gathering and processing, and detailed results and analytical metrics. This position offers multiple opportunities for qualified candidates.

Responsibilities

  • Use statistical analyses to evaluate scenarios and make predictions on future outcomes to solve complex business problems and support decision making.
  • Develop, validate, and execute algorithms and predictive models to investigate problems, detect patterns, and recommend solutions.
  • Explore, examine, and interpret large volumes of data in various forms.
  • Perform analyses of structured and unstructured data to solve business problems using advanced statistical techniques and mathematical analyses.
  • Develop data structures and pipelines to organize, collect, and standardize data that helps generate insights and addresses reporting needs.
  • Organize, collect, and standardize data visualization techniques to communicate analytical results, generate insights, address reporting results, and support business decisions.
  • Evaluate the data needs of assigned projects and assure the integrity of the data.
  • Work on existing data and recommend additional sources of data for improvements.
  • Document projects, including business objectives, data gathering and processing, and detailed set of results and analytical metrics.

Requirements

  • Master's degree (or foreign equivalent) in Statistics, Data Science, Mathematics, or a related field.
  • Completion of graduate-level coursework, research project, or internships in data analytics for clinical trials and healthcare research.
  • Experience in data extraction and transformation for electronic health records (EHR).
  • Knowledge of long short-term memory (LSTM) and DeepSury neural network modeling.
  • Proficiency in statistical analysis including regression, correlation, time series, and decision trees.
  • Experience with data visualization tools such as Tableau, Matplotlib, and Seaborn.
  • Programming skills in PySpark, Numby, Pandas, Tensorflow, Python, R, and Keras.
  • Familiarity with Big Data technologies including AWS, Spark, and Azure.
  • Experience with Git version control system.
  • Proficiency in SQL Server.

Benefits

  • Full range of medical, dental, and vision benefits.
  • 401(k) retirement savings plan.
  • Employee Stock Purchase Plan for eligible employees.
  • Fully-paid term life insurance plan for eligible employees.
  • Short-term and long-term disability benefits.
  • Numerous well-being programs.
  • Education assistance and free development courses.
  • CVS store discount and discount programs with participating partners.
  • Paid Time Off (PTO) or vacation pay, as well as paid holidays throughout the calendar year.
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