[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...

    2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

    When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

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