Senior Data Scientist (Remote

In this role 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.

In this role 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.

• Lead exploratory data analysis to cull actionable insights
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions
• Develop and implement statistical and machine learning models
• Fine-tune, optimize and ensure the scalability of models and algorithms
• Aid in designing experiments to answer targeted questions
• Identify and drive continuous improvement of key business metrics in an assigned business functional area
• Drive adoption and usage of data science products and models
• Translate data science outputs into business outcomes and value delivered
• 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

• Understand business challenges and their conversion into optimization problems, focusing on defining objectives and adhering to business constraints such as budget limitations and sell-through rates
• Perform large-scale optimization and statistical analysis in areas of web analytics, forecasting, supply chain management, pricing and inventory management
• Perform tuning of models by adjusting objective functions, constraints, etc.

• Experience using commercial or open-source optimization tools (Gurobi, Pyomo, CPLEX, etc.)

• Bachelor’s Degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field
• 3+ years of progressively complex data science experience
• Extensive experience 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 to test the effectiveness of new strategies or initiatives and iterating quickly
• Effective communication and collaboration skills at all levels

• Master’s degree and/or Ph.D.
• Retail and Logistics experience
• Supply chain management
• Marketing models