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Data Scientist

Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listing for: 7505 Caremark, L.L.C.
Remote/Work from Home position
Listed on 2026-06-27
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 109491 - 173040 USD Yearly USD 109491.00 173040.00 YEAR
Job Description & How to Apply Below
Location: New York

Overview

Caremark LLC, a CVS Health company, is hiring for the following role in New York, NY:
Data Scientist to participate in the development, validation, and delivery of algorithms, statistical models, and reporting tools.

Responsibilities
  • Implements systems that 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.
  • Assists in the deployment of data science initiatives by utilizing data mining, data modeling, natural language processing and machine learning techniques to extract data from multiple sources and deliver predictive models that inform solutions.
  • Designs complex data solutions that meet client requirements and organizational quality standards by leveraging industry‑leading tools, technologies and best practices to profile and translate data.
  • Applies in‑depth data science and machine learning knowledge to improve patient care capabilities, optimize healthcare operations, and drive evidence‑based decision‑making.
  • Develops analytical frameworks, key metrics and performance dashboards to monitor, measure and evaluate healthcare quality, efficiency and performance.
  • Communicates with internal and external stakeholders, including executives, clinicians, IT professionals and business analysts, to understand their needs and provide data‑driven solutions.
  • Coordinates delivery of presentations and consultative services to existing and prospective constituents that outline data analytics results and solutions.
  • Works to develop professional knowledge by staying up to date on innovative data analysis techniques, visualization tools and software, and object‑oriented programming languages.
  • Ensures departmental adherence to all applicable data governance policies and procedures by educating team members on data science best practices.

Hybrid position: remote work permitted but must live within commuting distance of designated office location and remain available to report to office as needed.

Qualifications
  • Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Business Analytics or a related field and at least two years of experience in the job offered or related occupation.
  • At least two years of experience in each of the following:
    • Machine learning, statistical analysis and predictive modeling
    • MySQL or SQL
    • Machine learning algorithms
    • Visualization tools, including PowerBI or Tableau
    • Quantitative analysis techniques, including clustering, regression and pattern recognition
    • Product management in a large, matrixed organization with many internal partners
    • Large‑scale Spark, Data Warehouse or Big Data implementation
Compensation and Benefits

Pay Range: $ to $ per year. Base salary will depend on experience, education, geography, and other relevant factors. This position is eligible for a CVS Health bonus, commission or short‑term incentive program in addition to the base pay range listed above, and includes an award target in the company’s equity award program.

  • Full range of medical, dental and vision benefits.
  • Eligible employees may enroll in the Company’s 401(k) retirement savings plan and Employee Stock Purchase Plan.
  • Fully‑paid term life insurance and short‑term and long‑term disability benefits.
  • Well‑being programs, education assistance, free development courses, CVS store discount and discount programs with participating partners.
  • Paid Time Off (PTO) or vacation pay and paid holidays throughout the calendar year, in accordance with state law and company policies.
Equal Employment Opportunity

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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