Senior Data Scientist – (Full-stack) Forecasting Modeling

CVS Health; United States; Remote; USD 83,000 - 204,000; Full time

Job summary

An innovative health solutions company is seeking a Senior Data Scientist to optimize pricing decisions and enhance customer experience through advanced analytics. This role involves solving complex problems, building predictive models, and collaborating with diverse teams to drive impactful insights. The ideal candidate will have a strong background in data science, particularly in retail, and be proficient in Python and SQL. Join a dynamic team dedicated to transforming health care and making a meaningful difference in the lives of millions. This position offers competitive pay and a comprehensive benefits package, making it a great opportunity for those passionate about data-driven solutions.

Benefits

401(k) plan with matching contributions

Employee stock purchase plan

Affordable medical plan options

Wellness screenings

Confidential counseling

Tuition assistance

Flexible work schedules

Paid time off

Family leave

Dependent care resources

Qualifications

• 3+ years of experience as a Data Scientist in retail or consulting.
• Experience building and scaling forecasting models in production.
• Strong skills in statistical and machine learning techniques.

Responsibilities

• Solve complex problems and build predictive models for pricing decisions.
• Work cross-functionally with technical and non-technical teams.
• Implement high-performance computing techniques for forecasting.

Skills

Python

SQL

Machine Learning

Deep Learning

Statistical Analysis

Education

Bachelor's degree in a quantitative field

Master's degree or PhD preferred

Tools

AWS SageMaker

Databricks

GCP Vertex AI

GitLab

GitHub

Job description

Senior Data Scientist – (Full-stack) Forecasting Modeling

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

The Consumer Engagement & Analytics team is helping lead the effort to drive improved consumer experience by partnering with key business areas across CVS Health to deliver impactful analytic products and insights. As a member of the Pricing Analytics team, you will be at the forefront of delivering high visibility products for key CVS Retail strategic priorities. Specifically, you will have the opportunity to drive traffic, revenue and customer satisfaction in CVS Health’s Front Store business using data science to optimize pricing decisions.

In this role, you will have the opportunity to:

Solve complex problems, translate business requirements into testable hypotheses and measurable metrics, build predictive models to understand localized trends, assess the competitive environment, and measure short- and long- term customer impacts to optimize pricing decisions,

Develop and leverage in-depth knowledge of Retail Merchandising business processes, translate key drivers of business value to analytics opportunities, and simulate impact of business decisions to improve customer experience,

Guide the technical approach, leverage large datasets, and build scalable and deployment ready models that work well with CVS Retail’s diverse product portfolio, develop robust methodologies and metrics to assess model performance,

Stay up to date on the state-of-the-art modeling methodologies and latest research,

Implement scalable high-performance computing techniques to speed up forecasting models

Utilize the latest developments in the generative models (LLMs and other AI models) to improve and enrich the performance of the pricing models, rethink the deployment readiness and scalability of the models, and automation opportunities using agents,

Work cross functionally with a range of technical and non-technical stakeholders including business partners, engineers, and other data and analytics teams. Share progress, findings, recommendations, and their business implications. 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.

We are a fast-paced team focused on building innovative advanced analytics solutions using cloud capabilities. Within our team, we believe cutting-edge AI products and analytics can only be delivered if every aspect of the solution from data to model to front end UI is fully designed and developed by the team.

We are looking for talented individuals who have a strong sense of ownership, accountability and a desire to deliver high quality end to end intuitive and impactful analytic products using advanced data driven approaches

Required Qualifications

Bachelor’s degree in a quantitative field such as statistics, engineering, or a related field. Master’s degree is preferred,

3+ years of work experience as a Data Scientist in retail, consulting, or a related field,

Demonstrated experience building and scaling forecasting models in a production environment , for a diverse portfolio of products (seasonal, non-se asonal, new, mature, end of life) and lead times,

Hands on experience with statistical, machine learning and deep learning-based forecasting techniques, hyper-parameter tuning, and ensembles to forecast at short and long horizons,

Strong Python and SQL skills, proficiency in working with large datasets ,

Experience working with a data engineering/ MLOps team to productionize data science models, familiarity with version control (GitLab or GitHub), and ML platforms (AWS SageMaker, Databricks, GCP Vertex AI, etc.),

Willingness to learn and willingness to coach,

Excellent communication and presentation skills and attention to detail. Worked in an agile environment, has the flexibility to adapt to changing business needs.

Preferred Qualifications

PhD in a quantitative field such as mathematics, engineering, physics or equivalent,

Publicly available git-repo with code samples of work,

Experience w riting modular, production ready code,

5+ years of work experience as a Data Scientist or Senior Data Scientist in retail, consulting, or a related field,

Comfortable with best practices in asynchronous communication,

Demonstrated experience with high performance computing methods,

In depth understanding of merchandising (price, promotion, assortment) concepts and metrics in retail, experience working o n a team with a focus on supply chain , inventory management, or merchandising . E-Commerce experience is desired but not required .

Experience working with multiple business stakeholders.

Education
Bachelor’s degree in a quantitative field such as statistics, engineering, or a related field. Master degree/PhD preferred.

Anticipated Weekly Hours

40

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

The Consumer Engagement & Analytics team is helping lead the effort to drive improved consumer experience by partnering with key business areas across CVS Health to deliver impactful analytic products and insights. As a member of the Pricing Analytics team, you will be at the forefront of delivering high visibility products for key CVS Retail strategic priorities. Specifically, you will have the opportunity to drive traffic, revenue and customer satisfaction in CVS Health’s Front Store business using data science to optimize pricing decisions.

In this role, you will have the opportunity to:

• Solve complex problems, translate business requirements into testable hypotheses and measurable metrics, build predictive models to understand localized trends, assess the competitive environment, and measure short- and long- term customer impacts to optimize pricing decisions,

• Develop and leverage in-depth knowledge of Retail Merchandising business processes, translate key drivers of business value to analytics opportunities, and simulate impact of business decisions to improve customer experience,

• Guide the technical approach, leverage large datasets, and build scalable and deployment ready models that work well with CVS Retail’s diverse product portfolio, develop robust methodologies and metrics to assess model performance,

• Stay up to date on the state-of-the-art modeling methodologies and latest research,

• Implement scalable high-performance computing techniques to speed up forecasting models

• Utilize the latest developments in the generative models (LLMs and other AI models) to improve and enrich the performance of the pricing models, rethink the deployment readiness and scalability of the models, and automation opportunities using agents,

• Work cross functionally with a range of technical and non-technical stakeholders including business partners, engineers, and other data and analytics teams. Share progress, findings, recommendations, and their business implications. 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.

We are a fast-paced team focused on building innovative advanced analytics solutions using cloud capabilities. Within our team, we believe cutting-edge AI products and analytics can only be delivered if every aspect of the solution from data to model to front end UI is fully designed and developed by the team.

We are looking for talented individuals who have a strong sense of ownership, accountability and a desire to deliver high quality end to end intuitive and impactful analytic products using advanced data driven approaches

Required Qualifications

• Bachelor’s degree in a quantitative field such as statistics, engineering, or a related field. Master’s degree is preferred,

• 3+ years of work experience as a Data Scientist in retail, consulting, or a related field,

• Demonstrated experience building and scaling forecasting models in a production environment , for a diverse portfolio of products (seasonal, non-se asonal, new, mature, end of life) and lead times,

• Hands on experience with statistical, machine learning and deep learning-based forecasting techniques, hyper-parameter tuning, and ensembles to forecast at short and long horizons,

• Strong Python and SQL skills, proficiency in working with large datasets ,

• Experience working with a data engineering/ MLOps team to productionize data science models, familiarity with version control (GitLab or GitHub), and ML platforms (AWS SageMaker, Databricks, GCP Vertex AI, etc.),

• Willingness to learn and willingness to coach,

• Excellent communication and presentation skills and attention to detail. Worked in an agile environment, has the flexibility to adapt to changing business needs.

Preferred Qualifications

• PhD in a quantitative field such as mathematics, engineering, physics or equivalent,

• Publicly available git-repo with code samples of work,

• Experience w riting modular, production ready code,

• 5+ years of work experience as a Data Scientist or Senior Data Scientist in retail, consulting, or a related field,

• Comfortable with best practices in asynchronous communication,

• Demonstrated experience with high performance computing methods,

• In depth understanding of merchandising (price, promotion, assortment) concepts and metrics in retail, experience working o n a team with a focus on supply chain , inventory management, or merchandising . E-Commerce experience is desired but not required .

• Experience working with multiple business stakeholders.

Education
Bachelor’s degree in a quantitative field such as statistics, engineering, or a related field. Master degree/PhD preferred.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$83,430.00 - $203,940.00

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.

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 people

We 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/benefits

We anticipate the application window for this opening will close on: 05/20/2025

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

About the company

At CVS Health, we share a clear purpose: helping people on their path to better health. Through our health services, plans and community pharmacists, we’re pioneering a bold new approach to total health. Making quality care more affordable, accessible, simple and seamless, to not only help people get well, but help them stay well in body, mind and spirit.