Lead Data Scientist - Cost Estimator AI

Key Skills

Aartificial intelligence, Agile methodologies, Data science techniques, Google BigQuery, Google Cloud Platform (GCP), Machine learning techniques, Natural Language Processing (NLP), Python Programming, SQL

Job Description

The Analytics & Behavior Change team is seeking a highly motivated and innovative Lead Data Scientist to play a critical role in the development and enhancement of a cutting-edge healthcare cost estimation tool. This individual will lead a team of data scientists to build, refine, and deploy predictive models that accurately estimate the cost of healthcare services. The candidate will create tools that simplify the understanding of healthcare costs and member benefits. This tooling will empower members to make informed decisions, ultimately leading to better health outcomes. The ideal candidate will have a strong foundation in statistical modeling, machine learning, and data analysis, along with a deep passion for improving healthcare outcomes and member experiences.

Required Qualifications

• 7+ years of experience in data science, with a strong focus on predictive modeling, machine learning and generativeAI
• Proven experience in developing and deploying machine learning models in a production environment.
• Expertise in statistical modeling techniques, including regression, classification, and time series analysis.
• Strong programming and data mining skills in Python and SQL
• Experience with Google Cloud Platform (GCP) tools, including BigQuery, Vertex AI and Cloud Composer to implement scalable analytics solutions
• Ability to anticipate and prevent roadblocks through a project lifecycle and drive resolution/mitigation
• Excellent communication, presentation, and interpersonal skills, including the ability to present complex ideas to various audiences
• Strong problem-solving and analytical skills with the ability to think critically and creatively.
• Passion for improving healthcare access and affordability

Preferred Qualifications

• Experience with healthcare data, including claims data, provider data, and clinical data.
• Knowledge of healthcare economics and reimbursement methodologies.
• Experience with natural language processing (NLP), large language models (LLMs) and Generative AI to extract insights from complex data types
• Experience with Agile development methodologies.

Education

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related field.

Pay Range

The typical pay range for this role is:

$130,295.00 - $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.

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: 03/31/2025

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