Data Scientist
US$125,000 – US$207,000 / yr base salary
Posted 26 Aug 2026
Advertised as “Lead Data Scientist - Applied AI (P4656)”
BranchFactor Summary
The original posting with the fluff stripped out
- Level
- P4656
- Expected experience
- 5+ yrs
- Management level
- People management
- Employment
- On-Site
| Base salary | US$125,000 – US$207,000 / yr |
|---|
Field of studyComputer Science, Data Science, Machine learning (or related)
Study levelMaster's or higher
84.51° Overview:
84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.
Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.
84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.
Join us at 84.51°!
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Lead Data Scientist, Applied AI, AI Enablement (P4656)
Summary
We are seeking an experienced Lead Data Scientist to serve as an AI Engineer for our Applied AI team. The Applied AI team is a group of data scientists and engineers that drive co-development and integration of AI solutions throughout the Kroger and 84.51 businesses. We work with a variety of teams to build AI Agents, implement Embeddings-based solutions, and apply proprietary language models to enhance business processes.
Responsibilities
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Work with business teams to co-develop AI solutions, including AI Agents, for their business
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Mentor and lead work for junior members of the team
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Quickly upskill on stakeholder domains, technologies, and ways of working
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Proactively identify and evaluate business use cases that can be solved with AI
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Design and execute rapid proof of concepts to demonstrate business value and feasibility for specific business problems to gain buy-in
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Democratize learnings from projects across the business via creation of cookbooks, trainings, and informal presentations
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Provide technical guidance for production implementations and troubleshoot integration challenges.
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Work cross-functionally with engineering partners and business teams to ensure solutions that are flexible and modular
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Stay up to date on changes in the Generative AI, Agents, and Embeddings spaces
Qualifications and Experience
Required
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Advanced degree in Data Science, ML, Computer Science, or related field; 5+ years data science experience with 2+ years in senior role