[Remote] Manager, Data Science (Personalization & Recommendation Systems) (Remote)

Note: The job is a remote job and is open to candidates in USA. Kohl's is seeking a Manager for their Data Science team focusing on Personalization and Recommendation Systems. In this role, you will manage a team of data scientists to address business challenges using advanced data analysis and machine learning, while also overseeing the deployment of machine learning models to enhance personalized customer experiences.


Responsibilities

  • Attract, retain, develop, manage, coach and assess data scientists in a balanced team
  • Work with product, engineering and design leads and leverage data-driven insights to make decisions, set goals, prioritize work and achieve team objectives
  • Lead end-to-end data science projects from problem formulation to model deployment, ensuring high-quality deliverables that meet business needs
  • Oversee the design of experiments that answer targeted questions
  • Identify and drive continuous improvement of key business metrics within assigned team
  • Translate data science outputs into business outcomes and value delivered
  • Maintain strong business partner relationships to gain cross-organizational alignment, spur adoption and usage of data science capabilities and drive business outcomes
  • Remain current on the latest trends and developments in data science and technology and identify areas that offer the greatest return on investment
  • 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 with personalization & 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
  • Expertise in developing and deploying state-of-the-art algorithms using machine learning and statistical and optimization methods to power various aspects of highly complex business models and deliver value
  • Expert in using modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL, GCP, etc
  • Strong problem-solving skills with an emphasis on product development
  • Experience proposing rapid experiments to test the efficacy of new strategies or initiatives and iterating quickly based on results
  • Proven success guiding teams through unstructured technical problems
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or equivalent quantitative field
  • 5+ years (or 2+ years with a Master's degree) of progressively complex data science experience
  • 2+ years of managerial or leadership experience in data science or analytics organizations
  • Master's degree and/or Ph.D
  • Retail experience
  • Marketing models

Company Overview

  • Kohl’s is a leading omnichannel retailer with more than 1,100 stores in 49 states. It was founded in 1988, and is headquartered in Menomonee Falls, Wisconsin, USA, with a workforce of 10001+ employees. Its website is https://corporate.kohls.com.

  • Company H1B Sponsorship

  • Kohl's has a track record of offering H1B sponsorships, with 6 in 2026, 11 in 2025, 10 in 2024, 26 in 2021, 21 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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    Common Interview Questions And Answers

    1. HOW DO YOU PLAN YOUR DAY?

    This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

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