Data Scientist II (Remote)

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 Youll 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 Kohls

• 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

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

• Bachelors 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

• Masters degree and/or Ph.D.

• Retail and Logistics experience

• Supply chain management

• Marketing models