Senior Data Scientist - HealthSpire Product Analytics & Forecasting

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. A Brief Overview Our Consumer Analytics team designs personalized outreaches and nudges, and experiments at 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 (not about getting people to click on ads!).We do this through a combination of rules and ML models that identify who to target, an experimentation platform that we've built that allows complex journeys and test designs, and a combination of channels and vendors that deliver messages including SFMC. We do this hand in hand with our data engineering and marketing partners.You will be part of a team that brings our personalized outreaches and nudges to the members of our B2B clients (think health plans or employers providing health insurance and services to their employees). As a member of our team, you will focus on improving our forecasting toolkit, allowing us to focus on members with the greatest expected needs more proactively. Experience in analyzing and forecasting time series is key for this role. What you will do:

• Lead and standardize our forecasting applications and work with a multi-disciplinary team of data scientists and data engineers to deploy our forecasting toolkit and applications
• Build machine learning and statistical predictive models and develop analytical approaches which form the foundation for driving patient engagement tactics aimed at improving medication adherence and patient experience.
• Consults with internal clients to identify opportunities to implement data science solutions to business problems at an advanced level.
• Effectively collaborate with Data Engineering, IT and other technical teams to onboard new data sources, create feature stores and optimize/ automate model development and deployment processes (Github, MLOps etc.)
• Write complex and efficient SQL code and leverage Exploratory Data Analysis techniques to develop insights from large datasets from multiple data sources.
• Collaborate effectively with business, marketing, and other stakeholders across the organization.
• Present recommendations to senior staff and internal clients
• Rapidly iterate through solutions to figure out what works best

The ideal candidate:

• Has experience with time series methods
• Wants to do something that is innovative from a data science perspective and provides tangible real-world impact
• Is okay with ambiguity and can creatively build solutions that solve problems, even if those problems are not expressed in formal ways like BRDs
• Has experience working as a social scientist and as a data scientist
• Loves innovating and working on small teams that get stuff done and have a lot of autonomy

For this role you will need the following minimum requirements:

• 3+ years work experience (inclusive of applied research experience)
• Mastery of problem solving and decision-making skills
• Mastery of collaboration and teamwork
• Mastery of growth mindset (agility and developing yourself and others) skills
• Mastery of execution and delivery (planning, delivering, and supporting) skills

Programming/Technical skills required:

• Experience with time series methods and familiarity with recent developments in the field
• Strong theoretical and hands-on experience with statistics and machine learning in general
• Strong programming skills in Python and SQL
• Hands-on experience with cloud computing (Google Cloud, AWS, etc.)
• Strong understanding of version control (i.e. git)

Education

• Master's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline
• PhD preferred

Pay Range

The typical pay range for this role is:$111,240.00 - $222,480.00This 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.

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 HealthWe anticipate the application window for this opening will close on: 01/21/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.