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
Hear directly from employees about what it is like to work at Kohl's.