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Data Scientist II (Remote)

AT Kohl's
Kohl's

Data Scientist II (Remote)

Menomonee Falls, WI

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

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  • 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

  • What Skills You Have

    Required
    • 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.)

    Preferred
      • Master's degree and/or Ph.D
      • Re tail experience
      • Marketing models

            Client-provided location(s): Menomonee Falls, WI 53051, USA
            Job ID: kohls-10486_KLHKUSR400233
            Employment Type: Other

            Perks and Benefits

            • Health and Wellness

              • Health Insurance
              • Dental Insurance
              • Vision Insurance
              • Life Insurance
              • Long-Term Disability
              • HSA
              • On-Site Gym
              • Pet Insurance
              • Short-Term Disability
              • FSA
              • HSA With Employer Contribution
              • Mental Health Benefits
            • Parental Benefits

              • Adoption Assistance Program
              • Family Support Resources
              • On-site/Nearby Childcare
              • Fertility Benefits
              • Birth Parent or Maternity Leave
              • Non-Birth Parent or Paternity Leave
              • Adoption Leave
            • Work Flexibility

              • Flexible Work Hours
              • Remote Work Opportunities
              • Hybrid Work Opportunities
            • Office Life and Perks

              • Casual Dress
              • On-Site Cafeteria
              • Company Outings
              • Commuter Benefits Program
            • Vacation and Time Off

              • Paid Vacation
              • Paid Holidays
              • Personal/Sick Days
              • Leave of Absence
            • Financial and Retirement

              • 401(K) With Company Matching
              • Relocation Assistance
              • Financial Counseling
            • Professional Development

              • Leadership Training Program
              • Associate or Rotational Training Program
              • Tuition Reimbursement
              • Mentor Program
              • Access to Online Courses
              • Lunch and Learns
              • Promote From Within
              • Shadowing Opportunities
              • Internship Program
            • Diversity and Inclusion

              • Employee Resource Groups (ERG)
              • Diversity, Equity, and Inclusion Program

            Company Videos

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