What are the responsibilities and job description for the Data Scientist I (Remote) position at KOHLS?
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
What Skills You Have
Required
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
