Data Scientist II (Remote)

Role Specific Information

Job Description

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

 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.)

• 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 

Preferred

• Master’s degree and/or Ph.D.

• Retail experience

• Marketing models

Essential Functions

The requirements listed below are representative of functions you will be required to perform, however you may be required to perform additional functions. Kohl’s may revise this job description at any time. To perform this job successfully, you must be able to perform each essential function satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, absent undue hardship.

• Ability to perform the accountabilities listed in the “What You’ll Do” Section

• Ability to comply with dress code requirements

• Basic math and reading skills, legible handwriting, and basic computer operation

• Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the company

• Ability to learn and comply with all company policies, procedures, standards and guidelines

• Ability to receive, understand and proactively respond to direction from leadership and other company personnel

• Ability to work as part of a team and interact effectively and appropriately with others

• Ability to maintain composure and work in a fast paced environment while accomplishing multiple tasks within established timeframes

• Ability to satisfactorily complete company training programs

• Ability to use a personal computer for tasks such as communicating, preparing reports, etc.

• Ability to plan, prioritize and monitor activities across business units

• Ability to complete or oversee the completion of assigned projects in a timely manne