Lead Data Scientist
NielsenIQ
Lead Data Scientist - Applied AI (P4656)
8451· Data Science
About this role
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
- Work with business teams to co-develop AI solutions, including AI Agents, for their business
- Mentor and lead work for junior members of the team
- Quickly upskill on stakeholder domains, technologies, and ways of working
- Proactively identify and evaluate business use cases that can be solved with AI
- Design and execute rapid proof of concepts to demonstrate business value and feasibility for specific business problems to gain buy-in
- Democratize learnings from projects across the business via creation of cookbooks, trainings, and informal presentations
- Provide technical guidance for production implementations and troubleshoot integration challenges.
- Work cross-functionally with engineering partners and business teams to ensure solutions that are flexible and modular
- Stay up to date on changes in the Generative AI, Agents, and Embeddings spaces
Qualifications and Experience
Required
- Advanced degree in Data Science, ML, Computer Science, or related field; 5+ years data science experience with 2+ years in senior role
- Hands-on experience with LLMs, embeddings, and AI Agents in a variety of Agent Harnesses.
- Strong understanding of AI Agent Tools, Skills, and Prompting
- Understanding of how to apply Embeddings to different AI projects
- Strong programming in Python
- Exceptional communication skills with ability to explain complex technical concepts to non-technical audiences
- Experience in stakeholder management, technical documentation creation, and cross-functional collaboration
- Strong analytical, problem-solving, and decision-making skills
- High level of independence to develop and own toolkits, pipelines, and dashboards.
- Excellent written and verbal communication skills to work with cross-functional teams.
- Ability to work in a highly collaborative environment
- Strong ability to quickly adapt to new business problems and technologies
- Desire to lead project work and mentor junior members of the team
Preferred
- Experience deploying solutions for quick proof-of-concept work
- Experience building AI Agent Evaluations and Trace
#LI-SSS
Pay Transparency and Benefits
- The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
- Below is a list of some of the benefits we offer our associates:
- Health: 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.
- Wealth: 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.
- Happiness: 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.
Pay Range
$125,000—$207,000 USD
Frequently Asked Questions
What is the salary for the Lead Data Scientist - Applied AI (P4656) role at 8451?
The listed salary for this Lead Data Scientist - Applied AI (P4656) position at 8451 is USD 125K–207K. This is an full-time role.
Where is the Lead Data Scientist - Applied AI (P4656) position at 8451 located?
This Lead Data Scientist - Applied AI (P4656) role at 8451 is based in Cincinnati, OH; Chicago, IL. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Lead Data Scientist - Applied AI (P4656) at 8451 belong to?
This Lead Data Scientist - Applied AI (P4656) position is part of the Data Science department at 8451. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Lead Data Scientist - Applied AI (P4656) position at 8451?
Click the "Apply Now" button on this page. You will be redirected to 8451's official application portal hosted on greenhouse where you can submit your application directly.
When was the Lead Data Scientist - Applied AI (P4656) job at 8451 posted?
This Lead Data Scientist - Applied AI (P4656) position at 8451 was posted on Aug 26, 2026. Apply as soon as possible — early applications are often reviewed first.
Lead Data Scientist - Applied AI (P4656)
8451 · 💰 USD 125K–207K
You'll be redirected to 8451's official application page on Greenhouse.