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
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
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- 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
- 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
- 5+ years of work experience developing impactful ML/AI solutions and managing into production
- 6+ years of programming experience in R/Python and SQL
- 7 + 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.)
Bachelor's degree or equivalent work experiencePay Range
The typical pay range for this role is:$130,295.00 - $260,590.00
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.Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great benefits for great peopleWe take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
- Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
- No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
- Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.