Senior Data Scientist Consultant, Managed Agent Platform (P2392)

84.51° • Cincinnati, OH

3h • Onsite

About The Position

84.51° is a retail data science, insights, and media company that partners with The Kroger Co., consumer packaged goods companies, agencies, publishers, and affiliates to create personalized shopper experiences. They leverage first-party retail data from over 62 million U.S. households via the Kroger Plus loyalty card program. The company operates on a 5-day in-office work schedule to foster collaboration and team connection. This Senior Data Scientist Consultant role is part of the Agent Platform Team within AI Enablement, specifically focusing on the Managed Agent Platform (MAP). The MAP is a new, centralized platform designed to simplify and accelerate the design, development, deployment, and monitoring of AI agents across the organization, offering a flexible, no-code/low-code solution for both technical and non-technical users. The platform is in its early stages, with the team actively evaluating tooling, defining workflows, and establishing standards. The consultant will serve as a crucial link between the MAP engineering team and the data scientists/agent builders, ensuring the platform meets user needs, testing capabilities, documenting processes, and driving adoption. The role requires hands-on familiarity with open-source agent ecosystems like LangChain and LangGraph to evaluate platform capabilities and inform design decisions. This is a small, engineer-heavy squad, and success in this role requires comfort with ambiguity, good judgment, and the ability to influence without direct authority.

Requirements

• Bachelor’s degree in mathematics, statistics, computer science, economics, or a related discipline.
• 2–4 years of experience in data science, AI/ML development, or applied analytics.
• 2–4 years of experience in tech consulting, retail analytics, or related professional services.
• Hands-on experience with Python and SQL.
• Hands-on experience with one or more agent frameworks (e.g., LangChain, LangGraph, Google ADK, OpenAI Agents SDK, CrewAI, AutoGen) is required.
• Experience gathering user needs, documenting requirements, and driving issues to resolution with technical teams.
• Experience partnering with software engineering and/or product management teams.
• Familiarity with LLMs, prompt engineering, and agentic AI concepts.
• Strong written and verbal communication, including the ability to explain technical concepts clearly to non-technical audiences and produce high-quality documentation.
• Ability to influence across teams and seniority levels without direct authority.
• Comfort operating in ambiguity — this platform is early-stage, and priorities will shift frequently as the team learns what works.
• Strong project and time management skills; able to manage multiple priorities with minimal oversight.
• Deep curiosity about the agentic AI ecosystem and a genuine desire to become a subject matter expert on agent orchestration, evaluation, observability, and deployment patterns.
• Comfort working on a small, engineer-heavy team where you are often the only non-engineer voice in the room.

Nice To Haves

• Exposure to agent platforms (e.g., LangSmith, Vertex AI Agent Builder) is a strong plus.

Responsibilities

• Serve as the primary liaison between data scientists and agent builders and the MAP engineering team.
• Gather requirements, surface pain points, and translate practitioner needs into actionable feedback that shapes platform decisions, standards, and the roadmap.
• Help evaluate and select platform tooling (e.g., LangSmith, LangChain ecosystem).
• Contribute to defining core platform capabilities — including agent building workflows, orchestration patterns, tool/API connectivity, observability and tracing, evaluation frameworks, and governance controls.
• Test and document findings, recommended use cases, limitations, and rollout considerations.
• As the platform matures, write guides, maintain documentation, lead training sessions, and run office hours to help data scientists and agent builders adopt the MAP.
• Serve as a first line of support when teams hit roadblocks.
• Evangelize the MAP to increase awareness and drive adoption across the organization.
• Produce clear communications and materials for both technical and non-technical audiences.
• Work closely with engineers, the solution architect, and product lead on the squad to ensure platform capabilities have well-defined use cases and that guidelines and best practices are established.
• Act as an agent-building ambassador to cross-functional teams, explaining recommended workflows and the reasoning behind platform choices.
• Help validate that platform capabilities meet enterprise requirements around security, compliance, observability, scalability, and data governance.

Benefits

• Medical: with competitive plan designs and support for self-care, wellness and mental health.
• Dental: with in-network and out-of-network benefit.
• Vision: with in-network and out-of-network benefit.
• 401(k) with Roth option and matching contribution.
• Health Savings Account with matching contribution (requires participation in qualifying medical plan).
• AD&D and supplemental insurance options to help ensure additional protection for you.
• Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year.
• Paid leave for maternity, paternity and family care instances.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 501-1,000 employees