Senior Data Scientist – Patient Safety

Key Skills

Aartificial intelligence, AWS, Data science techniques, Data Visualization, Google Cloud Platform (GCP), Machine learning techniques, SQL, Tableau

Job Description

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.

The Sr. 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.

Responsibilities include

• 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

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.

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
• 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

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: 03/15/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.