Lead Data Scientist - Patient Safety, CVS Health

CVS Health

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

142140.00 - 284280.00 USD / Year

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Job Description:

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. 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.

Job Responsibility:

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

Requirements:

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

Nice to have:

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

What we offer:

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

Additional Information:

Job Posted:
April 23, 2025

Expiration:
April 30, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Lead Data Scientist - Patient Safety