Data Scientist - Product Personalization

As the Data Scientist - Product Personalization - you will work with experts across our company to design, build, and scale health plan recommendation systems. Your work will answer strategically important questions like what plans best meet employers' members needs and budgets? Or, how do we predict the best time to deliver notifications that cut through the noise?

Think things like building data science models for production-grade systems, running online A/B tests, and using experimentation and AI to improve product offerings.

What you will do:

• Partner with product, engineers, and UX to build the simplest solution that can move the needle with our customers

• Implement and maintain responsible and effective AI and machine learning models in production

• Influence the product roadmap by building subject matter expertise in health plan design, pricing, and sales users' needs

• Collaborate with cross-functional teams by communicating insights, incorporating feedback, and iterating on solutions to drive continuous improvement

• Bring a learning mindset to continuously discover and apply new technology in development and hybrid team collaboration

The ideal candidate:

• Has experience working with production models, including model maintenance and new feature development

• 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

• 1+ years work experience in data science

• 1+ years of programming experience in Python and SQL

• 1+ years of experience in version control (i.e. git, CI/CD)

• Knowledge, experience, or interest in automated testing frameworks

Preferred Qualifications

• 3+ years work experience in data science

• Experience in Insurance, Healthcare, Retail, Tech or similar

• Experience with cloud computing (GCP, AWS, or MicrosoftAzure)

Education

• Master's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline Anticipated Weekly Hours
40Time Type
Full timePay Range

The typical pay range for this role is:$86,520.00 - $173,040.00This 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.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.

For more information, visit https://jobs.cvshealth.com/us/en/benefitsWe anticipate the application window for this opening will close on: 04/04/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.