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Sr. Data Scientist

CVS Health4h ago
United StatesOnsite$119.6K–$203.9KFull-timeMid Level3+ yrs exp

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Data ScientistVp Data

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: Caremark LLC, a CVS Health company, is hiring for the following role in Chicago, IL: Sr. Data Scientist to Develop and implement analytics applications and models to transform data into meaningful information.

Duties include: 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; and support deployment of insights across multiple channels using analysis methods, machine learning, and statistical analyses.

Multiple positions

Requirements

  • Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and three (3) years of experience in the job offered or related occupation.
  • Position requires three (3) years of experience in each of the following: Data analytics, statistical modelling, data visualization and reporting with a track record of delivering insights and business impact
  • Data analysis and visualization tools such as SAS, SPSS, R, Python, SQL, or Tableau
  • Machine learning data mining and other quantitative research analytics such as: Non-Linear Regression Analysis, Multivariate Analysis, Bayesian Methods, Generalized Linear Models, Decision Trees and Random Forest, Non Parametric estimations, Neural Networks, or Ensemble Models
  • Development of prospective and retrospective study design and evaluation protocols, including study population selection and matching criteria outcome measures definition and statistical methodology
  • Developing, implementing, testing, and maintaining methodologies for standardized and repeatable reporting for internal and external audiences
  • Coding statistical packages, machine learning algorithms, and building large dataset
  • Statistical methodologies, advanced database management and data science
  • Constructing, validating, and maintaining predictive models in retail industry settings
  • Analysis methodologies, coding in a statistical language such as Python, R, Stata, or SAS
  • and Applying statistical and analytic methods to empirical data sets.
  • Pay Range: $119558.00/year to $203940.00/year.
  • This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.
  • The actual base salary offer will depend on a variety of factors including 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.
  • This position also includes an award target in the company’s equity award program.
  • In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities.
  • The Company offers a full range of medical, dental, and vision benefits.
  • Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees.
  • The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits.
  • CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners.
  • As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year.
  • Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
  • Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
  • This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families.
  • The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
  • Additional details about available benefits are provided during the application process and on Benefits Moments .
  • This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.
  • Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Required skills

Data analyticsstatistical modellingdata visualizationreportingSASSPSSRPythonSQLTableauMachine learningdata miningNeural NetworksDecision TreesRandom Forest
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