About
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 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 Skills & Experience
Experience with recommendation systems, search, or ranking problems at scale of millions of customers and products Experience in developing sequential, transformer models and utilizing LLM models in production Understanding of collaborative filtering and learning-to-rank methods Experience optimizing models for GPU / distributed training Familiarity with large-scale datasets and production ML systems Exposure to real-time or low-latency serving environments Experience with vector search / ANN methods (e.g., FAISS, ScaNN) preferred Experience with delivering end to end customized ML models in production environment 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
Languages
- English
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