Staff Data Scientist (Remote)
Company: Kohl's
Location: Menomonee Falls, WI (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-10-08
About this role
About The Role
As Staff 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 generat...