Senior Software Engineer - Pricing & Promotions

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 Retail Consumer Analytics team is helping lead the effort to transform and drive improved front store consumer experience by partnering with key business areas across CVS Health to deliver impactful analytic solutions and insights.

As a member of the Analytics & Behavior Change Pricing Analytics team, you will deliver high visibility analytics projects for key CVS Retail strategic priorities. Within our team, we believe a cutting-edge AI product can only be delivered if every aspect of the solution from data to model to front end UI is fully designed and developed by SMEs within the team. As an Engineer, you will be joining a team designing, building, and delivering data science solutions for optimal retail pricing for CVS stores.

Responsibilities include:

• You will drive revenue and customer satisfaction in CVS Health’s Front Store business using advanced analytic solutions to optimizing merchandising and pricing decisions.
• You will solve complex problems and deliver decision support tools to improve customer experience.
• Collaborate with business stakeholders to understand business needs and convert them into requirements for solution enhancements or ad hoc analyses.
• Help guide the overall roadmap for enterprise optimal pricing solutions that deploy complex data science models through interactive user interfaces.
• Work with teams of data scientists, analysts, data engineers, and developers to execute both solution upgrades and analyses.
• Architect scalable and efficient data pipelines to ingest, transform, and analyze large volumes of structured and unstructured data within Palantir Foundry.
• Ensure compliance with best practices, security standards, and data governance policies throughout the development lifecycle.
• Provide technical guidance, mentorship, and support to junior developers and team members.
• Proactively identify opportunities for process improvements and optimization within Palantir Foundry ecosystem.

We are a dynamic team focused on building innovative analytic solutions using AI/ML and cloud capabilities.

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

• 3+ years of software development experience building and delivering customer facing cloud-based analytic solutions
• 3+ years of end-to-end application development experience on Palantir foundry or similar systems, leveraging tools such as Workshop, Code Repositories, Pipeline Builder, Ontology objects/actions and Typescript functions Foundry applications or similar systems to meet business requirements and objectives.
• 3+ year of experience collaborating with cross-functional teams including data analysts, engineers, and business stakeholders to gather requirements and define project scope.
• 3+ years coding in Python/PySpark, SQL, and LLM modeling
• 3+ years in cloud-based platforms such as Azure, GCP and AWS.

 Preferred Qualifications

• 5+ years of software development experience building and delivering customer facing cloud-based analytic solutions
• 5+ years of experience leading the design, development, and deployment of applications on Palantir Foundry Platform
• Retail merchandising domain expertise including category management, assortment optimization, product clustering, product price sensitivity and promotion affinity evaluation, store clustering and localization
• Experience with Prompt Engineering developing solutions leveraging LLM models

Education

• BA/BS degree required
• MBA preferred

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.  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 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: 04/27/2025

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