Staff AI Data Scientist

Job not on LinkedIn

🕒 October 8

🧀 Wisconsin – Remote

🧀 Wisconsin – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 20%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kohl's

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1962

🛒 Retail

🛍️ eCommerce

👥 B2C

💰 $360M Post-IPO Debt - Kohl’s on 2025-05

Retail • eCommerce • B2C

Kohl's is a large U. S. omnichannel department store chain that operates nationwide brick-and-mortar stores and an online shopping platform, selling apparel, home goods, beauty products (including a Sephora at Kohl’s partnership), and other general merchandise. The company emphasizes customer-first retailing, inclusive workplace culture, and operates support functions such as distribution centers, credit and call centers, and design and corporate offices.

📋 Description

• Use data and insights to make decisions, set goals, and identify levers to achieve balanced team objectives • Lead end-to-end data science projects from problem formulation to model deployment • Oversee experiments designed to answer targeted questions • Drive continuous improvement of key business metrics • Translate data science outputs into business outcomes and delivered value • Maintain business partner relationships to gain cross-organizational alignment and drive adoption of data science capabilities • Mentor and guide junior data scientists • Stay current on data science and technology trends and identify innovation opportunities at Kohl’s • Develop prescriptive AI/ML solutions, including foundation models and predictive systems, by converting business constraints into mathematical objective functions • Build continuous quantitative evaluation harnesses for LLMs, SLMs, and multi-agent systems • Implement responsible-AI practices, including bias detection, fairness constraints, data contracts, and model-risk controls • Partner with data and software engineering to integrate knowledge graphs and semantic layers for RAG pipelines and vector search/databases • Oversee production telemetry to detect concept drift, data degradation, and model decay • Perform additional assigned tasks

🎯 Requirements

• 6+ years of experience developing, evaluating, or applying modern AI/ML solutions, including LLMs, RAG, optimization, or causal methods, as relevant to the business problem • 6+ years of demonstrated understanding of AI evaluation, responsible-AI practices, and bias/risk mitigation • 6+ years of proven experience evaluating production GenAI and agentic systems using golden datasets, LLM-as-a-judge methodologies, guardrail hit rate analysis, and response failure analytics • Bachelor’s Degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field • 6+ years of progressively complex data science experience, or 3+ years with a Master’s degree • Expertise in developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods • Expertise with modern analytics tools, programming languages, and cloud platforms including Python, R, Spark, SQL, and GCP • Strong problem-solving skills with an emphasis on product development • Experience proposing rapid experiments and iterating quickly • Proven ability to guide teams through unstructured technical problems to deliver business impact • Preferred: Master's degree and/or Ph.D. • Preferred: Retail and Logistics experience • Preferred: Merchandising and/or Supply Chain Management • Preferred: Digital and/or Marketing models

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