Staff Data Scientist

This is a fully remote position, open to applicants in Wisconsin.

📋 Description

• Leverage data and insights to inform decisions, establish goals, and pinpoint strategies to achieve balanced team objectives.

• Manage comprehensive data science projects from the initial problem definition to the final model deployment.

• Supervise the experimental design aimed at addressing specific inquiries.

• Identify and promote continuous enhancements of essential business metrics.

• Convert data science findings into tangible business results and value delivery.

• Foster relationships with business partners to ensure cross-organizational alignment and facilitate the adoption of data science capabilities.

• Provide mentorship and guidance to junior data scientists.

• Keep abreast of trends in data science and technology, identifying opportunities for implementation at Kohl’s.

• Create prescriptive AI/ML solutions, including foundational models and predictive systems.

• Develop quantitative evaluation frameworks for LLMs, SLMs, and multi-agent systems.

• Enforce responsible-AI practices, including bias detection, fairness constraints, data contracts, and model-risk management.

• Integrate enterprise knowledge graphs and semantic layers for RAG pipelines and vector search/databases.

• Monitor production inference data for signs of concept drift, data degradation, and model decay.

⛳️ Requirements

• Over 6 years of experience in developing, assessing, or applying contemporary AI/ML solutions, including LLMs, RAG, optimization, or causal methods pertinent to business challenges.

• More than 6 years of demonstrated expertise in AI evaluation, responsible-AI practices, and bias/risk mitigation.

• At least 6 years of proven experience in evaluating production GenAI and agentic systems utilizing 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 a comparable quantitative discipline.

• 6+ years (or 3+ years with a Master’s degree) of progressively complex experience in data science.

• Proficiency in developing and deploying cutting-edge algorithms using machine learning, statistical, and optimization techniques.

• Expertise in utilizing modern analytics tools, programming languages, and cloud platforms (Python, R, Spark, SQL, GCP, etc.).

• Strong problem-solving abilities, particularly focused on product development.

• Experience in proposing quick experiments and iterating rapidly.

• Proven capability to lead teams through ambiguous technical challenges to generate business impact.

• Preferred: Master's degree and/or Ph.D.

• Preferred: Experience in Retail and Logistics.

• Preferred: Background in Merchandising and/or Supply Chain Management.

• Preferred: Familiarity with Digital and/or Marketing models.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Generous paid time off and holiday schedule.

• Professional development and training opportunities.

• Flexible work arrangements and a supportive work environment.