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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.
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.
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. Participate in initiatives to improve patient safety and mitigate risk of potential fraud and forgery leveraging AI/ ML techniques
Leverage technology to engage with stakeholders across the enterprise to work on new applications of artificial intelligence in fraud and forgery detection
Conduct or coordinate appropriate testing of analytic solutions including, machine learning and artificial intelligence, to ensure results are consistent with business requirements
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
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, ...) 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
Bachelor's Degree required
Advanced degree majoring in Statistics, Computer Science, Mathematics, or related STEM field a plus
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.
We anticipate the application window for this opening will close on: 03/15/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.