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Kohl's
Kohl's
B2CeCommerceRetail
Kohl's is a U.S. retail company combining a nationwide store network with an online shopping platform. Its assortment spans apparel, home goods, beauty, and other everyday merchandise, including Sephora beauty offerings through its partnership with Sephora at Kohl’s. The company’s operations extend beyond customer-facing retail to distribution centers, credit and call center teams, and design and corporate functions. Kohl's hiring context can therefore include opportunities supporting omnichannel commerce, store operations, fulfillment, customer service, and corporate retail teams, with a stated focus on customer-first service and an inclusive workplace culture.
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Staff Data Scientist, AI/ML — Remote in Wisconsin

Lead advanced AI/ML, LLM evaluation, and responsible-AI initiatives for Kohl’s retail business. Apply data science to improve decision-making, innovation, and measurable business outcomes.

USUnited StatesWIWisconsinRemoteFull-timeLeadEnglish RequiredData Scientist
CloudGoogle Cloud PlatformPythonSparkSQL

Description

  • Use data and insights to guide decisions, set goals, and identify levers for balanced team objectives
  • Lead data science projects from problem definition through model deployment
  • Oversee experiments designed to answer targeted business questions
  • Identify opportunities to improve key business metrics and lead those improvements
  • Convert data science results into business outcomes and measurable value
  • Build business-partner relationships that support cross-functional alignment and adoption of data science capabilities
  • Mentor and support junior data scientists
  • Track data science and technology developments and identify opportunities to apply them at Kohl’s
  • Create prescriptive AI/ML solutions, including foundation models and predictive systems
  • Develop quantitative evaluation frameworks for LLMs, SLMs, and multi-agent systems
  • Apply responsible-AI methods, including bias detection, fairness constraints, data contracts, and model-risk controls
  • Connect enterprise knowledge graphs and semantic layers to RAG pipelines and vector databases or search systems
  • Monitor production inference data for concept drift, data degradation, and model decay

Requirements

  • At least 6 years of experience developing, evaluating, or applying modern AI/ML solutions such as LLMs, RAG, optimization, or causal methods, as appropriate to the business problem
  • At least 6 years of demonstrated knowledge of AI evaluation, responsible-AI practices, and bias or risk mitigation
  • At least 6 years of experience assessing production GenAI and agentic systems with golden datasets, LLM-as-a-judge methods, guardrail hit-rate analysis, and response-failure analytics
  • Bachelor’s degree in data science, computer science, statistics, applied mathematics, or a comparable quantitative field
  • At least 6 years of progressively complex data science experience, or 3 years with a master’s degree
  • Expertise in creating and deploying advanced algorithms using machine learning, statistical, and optimization methods
  • Expert proficiency with modern analytics tools, programming languages, and cloud platforms, including Python, R, Spark, SQL, and GCP
  • Strong problem-solving ability focused on product development
  • Experience designing rapid experiments and iterating quickly
  • Demonstrated ability to lead teams through ambiguous technical challenges and deliver business impact
  • Preferred: Master’s degree and/or Ph.D.
  • Preferred: Experience in retail and logistics
  • Preferred: Experience in merchandising and/or supply chain management
  • Preferred: Experience developing digital and/or marketing models

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