Data Scientist II (Remote)

Lensa is the leading career site for job seekers at every stage of their career. Our client, Kohl's, is seeking professionals. Apply via Lensa today!

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
• 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

Required

What Skills You Have

• 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