Note: The job is a remote job and is open to candidates in USA. CVS Health is focused on building a more connected and compassionate health experience. They are seeking a Sr Data Scientist to formulate and apply mathematical and computational modeling methods for data extraction and manipulation, develop advanced algorithms, and deliver predictive models to inform solutions across various healthcare journeys.
Responsibilities
- Formulate and apply mathematical and computational modeling methods towards data extraction and manipulation
- 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
Skills
- Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field
- Two (2) years of experience in the job offered or related field
- Two (2) years of experience in GIT
- Two (2) years of experience in Python
- Two (2) years of experience in JSON
- Two (2) years of experience in Web Service APIs
- Two (2) years of experience in Google Cloud Platform (GCP)
- Two (2) years of experience in Power BI and Tableau
- Two (2) years of experience in Data analytics on large data sets in healthcare, business, or retail sector
- Two (2) years of experience in Big Data implementation
- Two (2) years of experience in Machine learning operations such as model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, and orchestration
- Two (2) years of experience in Quantitative analysis techniques, including clustering regression, and pattern recognition
Benefits
- Eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above
- 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
- Employee Stock Purchase Plan is also available for eligible employees
- Fully-paid term life insurance plan to eligible employees
- Short-term and long term disability benefits
- Numerous well-being programs
- Education assistance
- Free development courses
- A CVS store discount
- Discount programs with participating partners
- Paid Time Off (“PTO”) or vacation pay
- 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
- Comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families
- Benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility
Company Overview
CVS Health is a health solutions company that provides an integrated healthcare services to its members. It was founded in 1963, and is headquartered in Woonsocket, Rhode Island, USA, with a workforce of 10001+ employees. Its website is https://www.cvshealth.com/.Company H1B Sponsorship
CVS Health has a track record of offering H1B sponsorships, with 1 in 2022. Please note that this does not guarantee sponsorship for this specific role.