Data Scientist I (Remote)

Kohl's
Full time
Other
United States
Hiring from: United States
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

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