Job Description

About the RoleIn 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 DoLead exploratory data analysis to cull actionable insightsCollaborate with stakeholders to understand business requirements and translate them into technical solutionsDevelop and implement statistical and machine learning models Fine-tune, optimize and ensure the scalability of models and algorithmsAid in designing experiments to answer targeted questionsIdentify and drive continuous improvement of key business metrics in an assigned business functional areaDrive adoption and usage of data science products and modelsTranslate data science outputs into business outcomes and value deliveredMentor and guide junior data scientists, providing technical expertise and fostering a culture of continuous learning and developmentStay up to date on the latest trends and developments in data science and technology and identify implementation opportunities to support innovation at Kohl’sAdditional tasks may be assignedAddendumPERSONALIZATION & RECOMMENDATION SYSTEMSAccountabilitiesDesign 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-rankingAddress cold-start and long-tail challenges in large product catalogsPartner with engineering to support real-time personalization and scalable deploymentSkills & ExperienceExperience with recommendation systems, search, or ranking problems at scale of millions of customers and productsExperience in developing sequential, transformer models and utilizing LLM models in productionUnderstanding of collaborative filtering and learning-to-rank methodsExperience optimizing models for GPU / distributed trainingFamiliarity with large-scale datasets and production ML systemsExposure to real-time or low-latency serving environmentsExperience with vector search / ANN methods (e.g., FAISS, ScaNN) preferredExperience with delivering end to end customized ML models in production environmentRequiredBachelor’s Degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field3+ years of progressively complex data science experienceExtensive 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 developmentExperience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterating quicklyEffective communication and collaboration skills at all levels PreferredMaster’s degree and/or Ph.D.Retail and Logistics experienceSupply chain managementMarketing modelsJob SummaryJob number: R470787Profession: Technology

Job Tags

Similar Jobs