Skip to main contentA logo with &quat;the muse&quat; in dark blue text.

Lead Data Scientist - Forecasting

AT CVS Health
CVS Health

Lead Data Scientist - Forecasting

Olympia, WA

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 Summary

As a Lead Data Scientist on the Retail Strategic Health Analytics team, you will play a critical role on some of the most impactful projects supporting the Retail Pharmacy at CVS. Our work broadly involves improving pharmacy staffing outcomes, leveraging a variety of techniques, including but not limited, to time series modeling, unsupervised learning, causal inference, and stochastic simulation. You will be expected to serve as a thought leader, mentor, and developer of advanced AI/ML solutions.More generally, you will have the following responsibilities:

Want more jobs like this?

Get jobs in Olympia, WA delivered to your inbox every week.

By signing up, you agree to our Terms of Service & Privacy Policy.
  • Develop, validate, and execute AI/ML models to solve complex business problems.
  • Collaborate with senior leadership and subject matter experts to outline requirements and areas for support
  • Evaluate and blueprint solutions using AI/ML in conjunction with data scientists and team leadership
  • Coordinate with MLOps and Data Engineers to streamline data and ML/AI pipelines for deployment
  • Outline and execute on methods to fine-tune models for performance and accuracy.
  • Contribute to team eminence for AI/ML methods and coding and documentation standards.
  • Serve as a mentor to junior data scientists, providing guidance on methods and resources, and reviewing analytical solutions.
  • Compile and present results to executive audiences in a clear, compelling, and honest manner.
Required Qualifications
  • 4+ years of experience developing proven AI-driven applications
  • 4+ years of experience using machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and natural language processing and generative AI techniques with proven track record of end-to-end building and deploying advanced applications, including knowledge of model serialization and deserialization.
  • 2+ years of experience with building Time Series models and pipelines related to demand forecasting
  • 4+ years of experience with data preprocessing, feature engineering, and model evaluation
  • 4+ years of experience and proficiency in working with large datasets and distributed computing platforms
  • 2+ years of experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for deploying AI solutions
Preferred Qualifications
  • Healthcare Industry experience is desired.
  • Knowledge of data privacy and security considerations in AI development.
  • Expertise in generative AI techniques, including generative adversarial networks (GANs), variational autoencoders (VAEs), or similar architectures.
  • Proficiency in integrating low-code and no-code solutions with custom code and external systems through APIs and connectors.
  • Familiarity with causal inference methods and counterfactual reasoning in machine learning.
  • Knowledge of Bayesian machine learning and probabilistic programming frameworks.
  • Proficiency in deploying ML models in production environments, including containerization, and serving frameworks.
Education
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • PhD or Master's in Artificial Intelligence, Engineering or a related field.
Pay Range

The typical pay range for this role is:$130,295.00 - $260,590.00

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 peopleWe 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/benefitsWe anticipate the application window for this opening will close on: 04/11/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Client-provided location(s): Olympia, WA, USA
Job ID: CVS-R0546083
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • HSA
    • HSA With Employer Contribution
    • Pet Insurance
    • Mental Health Benefits
  • Parental Benefits

    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
  • Financial and Retirement

    • 401(K) With Company Matching
  • Professional Development

    • Tuition Reimbursement
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)
    • Diversity, Equity, and Inclusion Program