Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
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
A Brief Overview
The CVS Health Consumer Analytics team does a ton of personalized outreach and experimentation at an impressive scale: >100M messages per year. These messages educate members on truly meaningful things like staying adherent to medications, avoiding admissions to hospitals, and improving overall health – and save them money in the process. We do this through a combination of rules and machine learning models that identify who to target and an experimentation platform that allows complex journeys & test designs through a variety of channels & vendors. We do this hand-in-hand with our data engineering and marketing partners.
This role is part of Foundry – a team tasked with automating the platform as much as possible and making it more insightful, faster and stable. Products under Foundry include systems for automated targeting, optimizing campaigns to maximize lift and automating campaign measurement.
The Senior Data Scientist role will serve as a key technical contributor to help build our technical portfolio of internal products and have a strong influence on the business value and success of the team.
What you will do
- Develop an in-depth understanding of how “Next Best Action” campaigns and interventions work and are measured at CVS Health.
- Work with a multi-disciplinary team of data scientists, engineers and marketing teams to collaboratively develop innovative data science and ML-based products.
- Interface with business partners to identify opportunities and refine existing work.
- Rapidly iterate through solutions to figure out what works best.
The ideal candidate
- Wants to do something that is innovative from a data science perspective that provides tangible real-world impact.
- Demonstrates strong ownership and is driven by playing many roles both business-related (strategy, presenting to stakeholders, project management, etc.) and technical.
- Has experience both creating campaigns/interventions and working through, or better yet, building platforms to deliver them.
- Is okay with ambiguity and can creatively build solutions that solve problems, even if those problems are not expressed in formal business requirement documents.
- Has hands-on experience as a data scientist and ML practitioner.
- Loves innovating and working on small teams that get stuff done and have a lot of autonomy.
Required Qualifications
- 3+ years experience as a data scientist applying ML to real-world problems with demonstrated business impact.
- Strong technical problem solving and decision-making skills.
- Strong track record collaboration and teamwork.
- Strong entrepreneurial drive toward innovation.
- Strong programming skills in Python and SQL.
- Strong familiarity with common DS and ML libraries and frameworks.
- Hands-on experience with cloud computing (Google Cloud, AWS, etc.).
- Strong theoretical and hands-on experience with statistics and machine learning.
- Strong understanding of version control (i.e. git).
- Experience with experiment design (AB testing, randomized-controlled trials, factorial design, etc.).
Preferred Qualifications
Full-stack experience – creating and deploying apps, databases, APIs, CI/CD pipelines.
Education
- Bachelor’s Degree in Data Science, Computer Science, Applied Mathematics, Engineering, Operation Research, Statistics, Health Policy, or related field.
- Preferred: Master’s Degree in Data Science, Computer Science, Applied Mathematics, Engineering, Operation Research, Statistics, Health Policy, or related field.
Pay Range
The typical pay range for this role is: $111,240.00 - $222,480.00. 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.
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 .
We anticipate the application window for this opening will close on: 10/24/2024.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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