Role Specific Information
Job Description
About the Role
As Staff AI Data Scientist, you will work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision-making with advanced data analysis and machine learning.
What You’ll Do
- Use data and insights to make decisions, set goals and identify the right 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 in the balanced team
- Translate data science outputs into business outcomes and value delivered
- Maintain strong business partner relationships to gain cross-organizational alignment, spur adoption and usage of data science capabilities and drive business outcomes
- Mentor and guide junior data scientists, providing technical expertise and fostering a culture of continuous learning and development
- Stay up to date on the latest trends and developments in data science and technology and identify implementation opportunities to support innovation at Kohl’s
- Additional tasks may be assigned
Addendum
STAFF AI DATA SCIENTIST
- Develop prescriptive AI/ML solutions - including foundation models and predictive systems - by converting complex business constraints into mathematical objective functions that guide optimal agent behavior.
- Build and enforce continuous, quantitative evaluation harnesses to benchmark reasoning quality, tool-calling precision, grounding, and hallucination rates across LLMs, SLMs, and multi-agent swarms.
- Implement rigorous responsible-AI practices across the model lifecycle, establishing proactive bias detection, fairness constraints, data contracts, and model-risk controls.
- Partner with data and software engineering to integrate enterprise knowledge graphs and semantic layers, ensuring high-fidelity retrieval for retrieval augmented generation (RAG) pipelines and vector search/databases.
- Oversee Day-2 telemetry in collaboration with domain teams to monitor production inference data, proactively detecting concept drift, data degradation, and model decay.
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.
What Skills You Have
Required
- 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 to power various aspects of highly complex business models and deliver value
- 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 to test the effectiveness of new strategies or initiatives and iterating quickly
- Proven ability to guide teams through unstructured technical problems to deliver business impact
Preferred
- Master's degree and/or Ph.D.
- Retail and Logistics experience
- Merchandising and/or Supply Chain Management
- Digital and/or Marketing models
Essential Functions
The requirements listed below are representative of functions you will be required to perform, however you may be required to perform additional functions. Kohl’s may revise this job description at any time. To perform this job successfully, you must be able to perform each essential function satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, absent undue hardship.
- Ability to perform the accountabilities listed in the “What You’ll Do” Section
- Ability to comply with dress code requirements
- Basic math and reading skills, legible handwriting, and basic computer operation
- Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the company
- Ability to learn and comply with all company policies, procedures, standards and guidelines
- Ability to receive, understand and proactively respond to direction from leadership and other company personnel
- Ability to work as part of a team and interact effectively and appropriately with others
- Ability to maintain composure and work in a fast paced environment while accomplishing multiple tasks within established timeframes
- Ability to satisfactorily complete company training programs
- Ability to use a personal computer for tasks such as communicating, preparing reports, etc.
- Ability to plan, prioritize and monitor activities across business units
- Ability to complete or oversee the completion of assigned projects in a timely manner
Skills Required
- Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or an equivalent quantitative field
- 6+ years of progressively complex data science experience, or 3+ years with a master's degree
- 6+ years developing, evaluating, or applying modern AI/ML solutions, including LLMs, RAG, optimization, or causal methods
- 6+ years demonstrating AI evaluation, responsible-AI practices, and bias/risk mitigation
- 6+ years evaluating production GenAI and agentic systems using golden datasets, LLM-as-a-judge methods, guardrail hit-rate analysis, and response-failure analytics
- Expertise developing and deploying algorithms using machine learning, statistical, and optimization methods
- Expertise with modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL, and GCP
- Strong problem-solving skills with emphasis on product development
- Experience proposing rapid experiments and iterating on strategies or initiatives
- Ability to guide teams through unstructured technical problems and deliver business impact
- Master's degree and/or Ph.D.
- Retail and logistics experience
- Merchandising and/or supply chain management experience
- Digital and/or marketing model experience
Kohl's Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kohl's and has not been reviewed or approved by Kohl's.
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Retirement Support — Feedback suggests the 401(k) plan is a standout, offering a dollar‑for‑dollar company match up to 5% with contributions available from day one. Eligibility and vesting mechanics are presented as straightforward for eligible roles.
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Parental & Family Support — Paid parental leave includes 12–14 weeks for birthing parents and 6 weeks for other eligible parents. Feedback suggests this is a meaningful family‑support element within the package.
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Wellbeing & Lifestyle Benefits — The package includes a 15% everyday associate discount that can rise to 35% on select days, access to an Employee Assistance Program, and low‑ or no‑cost wellness centers in eligible locations. Feedback suggests these everyday perks add tangible value alongside core benefits.
Kohl's Insights
What We Do
Kohl’s is a leading omnichannel retailer with more than 1,100 stores in 49 states Kohl's business is built on a solid foundation of more than 65 million customers, an unmatched brand portfolio, industry-leading loyalty and Kohl's Card programs, a convenient and accessible nationwide store footprint, and large digital business on Kohls.com and the Kohl's mobile app. Our Vision: - The retailer of choice for the active and casual lifestyle - Destination for active and casual lifestyle as well as beauty for the entire family — from the most trusted brands, always delivering quality and discovery - Leading with loyalty and value through best-in-class rewards programs - Differentiated omnichannel experience — easy and inviting, no matter how our customer wants to shop






