Data Scientist at CVS Health

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Sep, 26

Salary

173040.0

Posted On

21 Jun, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, JSON, HTML, Tableau, Machine Learning, NLP, Scikit-Learn, Pytorch, Spark NLP, ETL, Feature Engineering, Quantitative Analysis, Cloud Deployment, UI/UX Wireframing, Statistical Modeling

Industry

Hospitals and Health Care

Description

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: Aetna Resources LLC, a CVS Health company, is hiring for the following role in New York, NY: Data Scientist to formulate and apply mathematical and computational modeling methods towards 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. Telecommuting available. Multiple positions. Requirements: Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and one (1) year of experience in the job offered or related field. Requires one (1) year of experience in each of the following: • Python, SQL; JSON, and HTML; • Tableau; • Machine Learning or NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP); • Contributing to large-scale applications development, data science, or data analytics projects; • Extract/Transform/Load (ETL) processes; • Feature engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementations; • Quantitative analysis techniques, including clustering, regression, and pattern recognition; • Developing and deploying predictive models or ML systems in a cloud environment (GCP, AWS, or Azure); and • Working with UI/UX teams to develop wireframes and prototypes based on end user feedback and human centered design. Pay Range: $109491.00/year to $173040.00/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. Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.

Responsibilities

Develop mathematical and computational models to extract and manipulate data for health metrics and predictive outcomes. Design data solutions and deploy machine learning insights across multiple channels to solve complex business problems.