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 overview
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 Principle Data Scientist - Patient Safety and Pharmacy Operations Analytics. As a Lead Data Scientist , you'll use your Data Science and ML expertise to drive our AI innovation to revolutionize the way CVS Pharmacy fills prescriptions.
As part of the patient safety team, you will work on projects which apply supervised and unsupervised machine learning approaches to identify potentially fraudulent or forged prescriptions which power real time alerts sent to all 9700+ pharmacy locations to prevent these prescriptions from being filled.
In this role you will be called on to work cross functionally with a range of technical and non-technical partners. Building partnerships with multiple stakeholders translating their business needs into problems which can be solved using analytics, statistics, and machine learning. Additionally, you will work closely with IT partners to bring these models to production at scale across the entire footprint of CVS retail pharmacies across the country.
Responsibilities include
Lead initiatives to improve patient safety and mitigate risk of potential fraud and forgery leveraging AI/ ML techniques
Develop analytics solutions that deploy advanced machine learning and artificial intelligence methods, including supervised classification, unsupervised clustering or anomaly detection, graph based approaches all focused on detecting potentially fraudulent or forged prescriptions
Conduct or coordinate appropriate testing of analytic solutions including, machine learning and artificial intelligence, to ensure results are consistent with business requirements
Develop and present meaningful and insights-driven materials on analytical results with recommendations and go forward planning to guide a variety of audiences including internal stakeholders and senior leadership
Develop and mentor data scientists, contribute to their learning and training agenda, knowledge sharing, and provide input on technology stack
Required Qualifications:
7+ years of experience with development of advanced machine learning solutions
7+ years' experience with the Software Development Lifecycle (SDLC) and agile development, including giving business requirements focused on data and analytics
Experience working on Big Data and ML technologies - Azure ML, Hadoop, Databricks, R, Python, SQL, Teradata
Experience building production ready NLP and/or machine learning solutions and maintaining them in production
Methodical, detail oriented with experience diving deep and asking the right questions
Ability to engage with senior business stakeholders, execute level communication and influencing skills
Preferred Qualifications
PhD or Master's degree
AI/ML publication in a peer-reviewed journal
Demonstrates proficiency in all areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and advanced in-depth specialization in some areas, especially in natural language processing
Familiarity with cloud computing services (AWS, GCP, or Azure)
Solid understanding of health care industry, products, and system
Demonstrates a strong ability to communicate technical concepts and implications to business partners
Prior experience implementing supervised and unsupervised approaches to address rare and anomalous events like fraud and forgery
Prior experience utilizing graph data structures and related AI/ML approaches like GNN, GCN, GAT to create supervised and unsupervised graph representations of complex systems
Education
Bachelor's Degree required
Advanced degree majoring in Statistics, Computer Science, Mathematics, or related STEM field a plus
Large-scale deep learning model training
Pay Range
The typical pay range for this role is:
$142,140.00 - $284,280.00
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: 05/30/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We are an equal opportunity and affirmative action employer. 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.
