Data Scientist I (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

In this role you will work with a data science team and cross-functional partners to solve business challenges in the area of price optimization, promoting data-driven decision making with advanced data analysis, causal inference and machine learning.

What You’ll Do

• Assist in cleaning, preprocessing and analyzing large datasets to uncover trends, patterns and correlations
• Conduct exploratory data analysis to cull actionable insights using analytical rigor and statistical methods
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions
• Develop and implement statistical and machine learning models to solve business problems within a cross-functional team
• Collaborate with senior data scientists to fine-tune, optimize and ensure the scalability of models and algorithms
• Document projects, including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics
• Identify and drive continuous improvement of key business metrics within the balanced team
• Remain current on the latest trends and developments in data science and technology through self-learning and training opportunities
• Additional tasks may be assigned
  
  

Required

What Skills You Have

• Experience developing state-of-the-art algorithms using machine learning, statistical and optimization methods to power various aspects of highly complex business models and deliver value
• Experience using modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL, GCP, etc.
• Strong problem-solving skills with an emphasis on product development
• Experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterate quickly based on results
• Effective communication and collaboration skills
• Bachelor’s of Science in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field
• 2+ years of progressively complex data science or analytics experience
  
  

Preferred

• Master’s degree
• Retail experience
• Experience with causal inference concepts and modeling techniques
• Understanding of econometrics and price elasticity modeling
• Experience supporting and enhancing live production models