Senior Data Scientist (Remote)

Kohl’s, Inc.
Menomonee Falls, WI, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Cloud Computing Decision Support Systems R (Programming Language) Python (Programming Language) Machine Learning SQL Databases Google Cloud Apache Spark Information Technology Tools for Reporting Programming Languages

Job description

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, * 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

Requirements

  • 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

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