About the Role

As Data Scientist II, you will work with a data science team and cross-functional partners to solve business challenges, promote data-driven decision-making with advanced data analysis and machine learning and develop products that strongly impact Kohl's revenue and customers. As a senior member of the Data Science organization, you will be the technical expert for a team that builds models for initiatives such as recommender systems, NLP, image recognition, segmentation and user behaviors. You will take a mentorship role within the DS team and work collaboratively with other business areas.

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

• Bachelor's Degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field
  
• 3+ years of progressively complex Data Science in the Recommendation Systems field, solving problems at scale
  
• Extensive experience developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods
  
• Experience with machine learning frameworks such as TensorFlow, PyTorch, GBQ, Spark MLlib, Keras or scikit-learn
  
• Experience in one or more areas of advanced data science (Recommender Systems, NLP, Deep Learning, Computer Vision, Generative AI, etc.)
  
• Experience in statistical analysis and experiment design
  
• Python, PySpark, SQL/Bigquery and Kubeflow proficiency
  
• Familiarity with Cloud-based Data Science implementations
  
• 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
  

• Master's degree and/or Ph.D.
  
• Retail experience
  
• Marketing models