Jobs / United States / 84.51 LLC
Lead Data Scientist - Applied AI (P4656)
84.51 LLC · 🇺🇸 Cincinnati, OH; Chicago, IL
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 15 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 16 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What 84.51 LLC paid sponsored hires in similar roles1 certified filing for “Senior Data Scientist” (Data Scientists) in WA: $154k–$154k, median $154k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — 84.51 LLC
The US Department of Labor certified 15 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 16 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for 84.51 LLC →
About the 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°! __________________________________________________________ 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 ad