Data Scientist II (Remote)

Kohl’s; Menomonee Falls (WI); Remote; USD 125,000 - 150,000; Full time

Job summary

An established industry player is seeking a Data Scientist II to join their dynamic team. In this pivotal role, you will leverage your expertise in data science to tackle complex business challenges and drive data-driven decision-making. Collaborating with cross-functional teams, you'll develop advanced models that enhance customer experience and boost revenue. Your mentorship will guide junior data scientists while you stay ahead of industry trends, ensuring innovation at every turn. If you are passionate about transforming data into impactful solutions, this opportunity is perfect for you.

Qualifications

• 3+ years of experience in Data Science, particularly in Recommendation Systems.
• Expertise in developing and deploying machine learning algorithms.

Responsibilities

• Lead exploratory data analysis to derive actionable insights.
• Develop and implement statistical and machine learning models.

Skills

Data Science

Machine Learning

Statistical Analysis

Optimization Methods

NLP

Deep Learning

Recommender Systems

Computer Vision

Education

Bachelor’s Degree in Data Science

Master’s Degree and/or Ph.D.

Tools

TensorFlow

PyTorch

Keras

scikit-learn

Spark MLlib

GBQ

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.).

Preferred

• Master’s degree and/or Ph.D.
• Retail experience.
• Marketing models.