Sr. Data Scientist

CVS Health; New York (NY); On-site; USD 103,000 - 200,000; Full time

Job summary

CVS Health is seeking a Senior Data Scientist to leverage data science skills in transforming healthcare through innovative analytical solutions. This mid-senior level role involves modeling techniques, data extraction from various sources, and developing advanced algorithms to support vital business decisions and improve patient care. The ideal candidate will hold a Master’s degree in a related field and possess strong programming skills along with experience in machine learning and statistical analysis.

Benefits

Medical, dental, and vision benefits

401(k) retirement savings plan

Employee Stock Purchase Plan

Term life insurance

Short-term and long-term disability benefits

Paid Time Off (PTO)

Vacation pay

Discount programs with partners

Free development courses

Well-being programs

Qualifications

• Master's in relevant field with focus on data practices.
• Experience in machine learning and statistical analysis required.
• Strong programming and analytical skills emphasized.

Responsibilities

• Design and develop data solutions for healthcare data.
• Extract and manipulate data across multiple sources.
• Develop predictive models for evaluating health metrics.

Skills

Programming in Java

Python

R

Machine learning

Statistical analysis

Predictive modeling

Feature engineering

Education

Master’s degree in Computer Science

Data Science

Statistics

Mathematics

Analytics

Tools

AWS

Azure

GCP

SQL

SAS

CI/CD tools

Jenkins

GIT

Job description

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At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary

Aetna Resources LLC, a CVS Health company, is hiring for the following role in New York, NY: Sr. Data Scientist to Formulate and apply mathematical and computational modeling methods towards health care related data extraction and manipulation. 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 and provide usable information on health metrics and potential future outcomes; 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 strong programming skills to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems; support deployment of insights across multiple channels and work on mathematical 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 completion of a university-level course, research project, internship, or thesis in each of the following: CI/CD, Jenkins, GIT, or DevOps; Programming in Java, Python, or R; XML, JSON, HTML, CSS, or JavaScript; Cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP); SAS or SQL programming languages; Machine learning, statistical analysis, or predictive modeling; NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP); Feature engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation; Working with UI/UX teams to develop wireframes and prototypes based on end user feedback and human centered design; Quantitative analysis techniques, including clustering, regression, and pattern recognition; and Supporting large data, analytics, and technology modernization initiatives.

Pay Range: $103500.00/year to $200000.00/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.

For more detailed information on available benefits, please visit https://jobs.cvshealth.com/us/en/benefits

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Hospitals and Health Care

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