Lead Data Scientist - Mental Well-Being

Reposted 3 Days Ago
Be an Early Applicant
Hartford, CT
130K-261K Annually
Senior level
Fitness • Healthtech • Retail • Pharmaceutical
The Role
Lead the development and implementation of machine learning models to improve member mental well-being, manage data science projects, and drive team collaboration.
Summary Generated by Built In

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 

  • 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 

  • 5+ 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 

  • 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.) 

Education

Bachelor's degree or equivalent work experience

Pay 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 people

We 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.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 04/18/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Top Skills

AWS
GCP
Azure
Python
R
SQL
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The Company
HQ: Woonsocket, RI
119,959 Employees
On-site Workplace
Year Founded: 1963

What We Do

CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners.

Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.

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