About the role
<div class="content-intro"><p><strong>84.51° Overview:</strong></p> <p>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.</p> <p>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.</p> <p><em>84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.</em></p> <p>Join us at 84.51°!</p> <p>__________________________________________________________</p> <p>&nbsp;</p></div><h1>Senior Data Scientist Consultant, SPI – Agent Platform Team</h1> <h2>Summary</h2> <p>The Agent Platform Team, within AI Enablement at 84.51°, owns and manages the core platforms that power data science and AI across the organization. This role sits on the <strong>SPI (Science Platform Innovation) squad</strong> and is focused specifically on the <strong>Databricks environment</strong> and its evolving AI/ML capabilities.</p> <p>You will be the bridge between the engineers building and maintaining our Databricks platform and the data scientists who use it every day. You are not building models for end-clients. Instead, you ensure the platform behaves as expected for the people on it—that new capabilities are tested, documented, and adopted smoothly, and that practitioner pain points make it back to the platform team in a way that shapes the roadmap.</p> <p>You’ll build deep familiarity with Databricks’ infrastructure and AI powered capabilities —including Genie Code, Genie spaces, Agent Bricks, MLflow, and other features as they emerge—as well as the Unity Catalog governance layer that underpins them. You’ll test and evaluate new Databricks features and relevant third-party integrations from the perspective of an end-user, document your findings, and help the team decide what to adopt, how to roll it out, and what to skip.</p> <p>This is a small, highly collaborative squad. Everyone pitches in on a bit of everything. Priorities shift frequently as the Databricks roadmap evolves. Success in this role is less about fixed technical expertise and more about comfort with ambiguity, good judgment about where to spend your time, and the ability to influence without direct authority.</p> <h2>Responsibilities</h2> <ul> <li><strong>Voice of the practitioner:</strong> Serve as the primary liaison between data scientists using