Data Scientist II (Remote)

Key Skills

Analytical and Problem solving, Computer Vision (CV), Data science techniques, Google BigQuery, Kubernetes-K8s, Natural Language Processing (NLP), PySpark, Python Programming, PyTorch, Scikit-learn, TensorFlow

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