Staff Data Scientist

Kohl's

. Use data and insights to make decisions, set goals, and identify levers to achieve balanced team objectives .

Posted 10/8/2026full-timeRemote • Wisconsin • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying AI/ML solutions, with a strong focus on responsible-AI practices and bias mitigation. Proven ability to lead data science projects from conception to deployment while driving business impact through data-driven decision-making.

Highest-signal resume keywords

AI/ML Solution DevelopmentResponsible-AI PracticesData Science Project LeadershipStatistical and Optimization MethodsProgramming Languages (Python, R, SQL)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical MethodsOptimization MethodsData EvaluationModel DeploymentExperiment DesignBias DetectionModel-Risk ControlsQuantitative EvaluationData Science Techniques

Soft Skills

Problem-SolvingMentoringCross-Organizational CollaborationCommunication

Tools & Technologies

PythonRSparkSQLGCPLLMsRAG PipelinesVector Search/Databases

Certifications & Qualifications

Bachelor’s Degree in Data ScienceMaster’s Degree (Preferred)Ph.D. (Preferred)

Industry Keywords

RetailLogisticsMerchandisingSupply Chain ManagementDigital ModelsMarketing Models

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact

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 the design of experiments that answer targeted questions
Identify and 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 implementation opportunities at Kohl’s
Develop prescriptive AI/ML solutions, including foundation models and predictive systems
Build quantitative evaluation harnesses for LLMs, SLMs, and multi-agent systems
Implement responsible-AI practices, bias detection, fairness constraints, data contracts, and model-risk controls
Integrate enterprise knowledge graphs and semantic layers for RAG pipelines and vector search/databases
Monitor production inference data for concept drift, data degradation, and model decay

Requirements

What you’ll need

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 (or 3+ years with a Master’s degree) of progressively complex data science experience
Expertise in developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods
Expert in using modern analytics tools, programming languages, and cloud platforms (Python, R, Spark, SQL, GCP, etc.)
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