About the Role 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. What You’ll Do • 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 Addendum PERSONALIZATION & RECOMMENDATION SYSTEMS Accountabilities • Design and support deployment of machine learning models to power personalized experiences across digital channels (e.g., homepage, PDP, cart, campaigns) • Build and optimize recommendation and ranking systems balancing relevance, discovery, and business objectives (e.g., conversion, revenue) • Develop multi-stage ranking approaches, including candidate generation and re-ranking • Address cold-start and long-tail challenges in large product catalogs • Partner with engineering to support real-time personalization and scalable deployment What Skills You Have Required • 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 Preferred • Master’s degree and/or Ph.D. • Retail and Logistics experience • Supply chain management • Marketing models