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Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.
Position Summary
Our team is dedicated to enhancing mental wellbeing of our members by leveraging data-driven insights and advanced analytics. We strive to empower our organization with robust data management, business intelligence, and reporting solutions that identify opportunities for improving member mental health while effectively managing costs. Through collaboration and innovation, we are committed to transforming data into actionable strategies that support our mission of fostering a healthier, more resilient community.
*This role can be remote in the US and must align to either central or Eastern time zone work schedules
What you will do
Build and deliver machine learning models into production that deliver insights to key business partners.
Develop a data science roadmap that allows us to deliver on near term needs while advancing our data science capabilities
Set the bar for operational rigor across the data science and engineering teams
Work with a multi-disciplinary team to drive impact
Create, enhance, and maintain technical documentation for our platform
The ideal candidate
Has experience building and productionizing ML models within highly used products and services preferably in the context of Personalization/Recommendation engines
Wants to do something that is innovative from a data science perspective and has a tangible operational impact
Loves innovating and working on small teams that get stuff done and have a lot of autonomy
Required Qualifications
7+ years of work experience developing impactful ML/AI solutions and managing into production
6+ years of programming experience in R/Python and SQL
Preferred Qualifications
10+ years of work experience building sophisticated and scalable solutions
Highly prefer experience Insurance, Healthcare, and the related data to create risk models and optimizing long term health outcomes
Prefer Masters degree or PhD in a STEM field
Experience with Agile environments
Experience with cloud computing (GCP, AWS or Microsoft Azure)
Experience with experiment design (AB testing, randomized-controlled trials, factorial design, etc.)
Education
Bachelor's degree or equivalent work experience
Pay Range
The typical pay range for this role is:
$144,200.00 - $288,400.00
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 Benefits | CVS Health
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.