The Retail Pharmacy Analytics team maintains industry-leading analytical solutions to enable a roadmap that drives the technology development & innovation, while delivering high-quality and high-value solutions. This position will be reporting to the Lead Director – Patient Safety and Pharmacy Operations Analytics.

The Senior Data Scientist will be part of analytical solutions in pharmacy professional practices and support our communities in prevention of drug misuse across a fleet of 9700+ pharmacy locations. The ideal candidate should have knowledge of AI/ML and collaborative mindset to inspire the team, align cross-functional stakeholders, and deliver efficient results.

• Participate in initiatives to improve patient safety and reduce dispensing errors to improve quality and safety using both descriptive and AI/ ML techniques

• Leverage technology to engage with stakeholders across the enterprise to work on new applications of artificial intelligence in patient safety topics

• Conduct or coordinate appropriate testing of analytic solutions including, machine learning and artificial intelligence, to ensure results are consistent with business requirements

Required Qualifications

• 3+ years of relevant experience working in analytics with a track record of delivering insights and business impact

• 3+ years of experience with advanced analytic techniques, such as predictive modeling and multivariate regression analysis

• 3+ years of expertise using data analysis, programming, and visualization tools such as Python, R, cloud-based ML Ops tech stack, SQL, and Tableau

• Highly motivated individual to work in an extremely fast paced environment both individually and with a team.

COVID Requirements

COVID-19 Vaccination Requirement
CVS Health requires certain colleagues to be fully vaccinated against COVID-19 (including any booster shots if required), where allowable under the law, unless they are approved for a reasonable accommodation based on disability, medical condition, religious belief, or other legally recognized reasons that prevents them from being vaccinated.

You are required to have received at least one COVID-19 shot prior to your first day of employment and to provide proof of your vaccination status or apply for a reasonable accommodation within the first 10 days of your employment. Please note that in some states and roles, you may be required to provide proof of full vaccination or an approved reasonable accommodation before you can begin to actively work.

Preferred Qualifications

• Strong analytics and data skills including solid training in statistics and data analysis, understanding of data management and visualization, ability to interpret outcomes of machine learning models

• Prior experience using and managing projects leveraging Cloud (Azure, GCP, …) technologies

Education

• Bachelor’s Degree required

• Advanced degree majoring in Statistics, Computer Science, Mathematics, or related STEM field a plus

Business Overview
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.
We strive to promote and sustain a culture of diversity, inclusion and belonging every day.
CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.