-
Data Scientist I
- Kohl's (Menomonee Falls, WI)
-
About the Role
In this role you will work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision making with advanced data analysis 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
Addendum
DECISION SCIENCE
Accountabilities
+ Begin to understand business challenges and their conversion into optimization problems, focusing on defining objectives and adhering to business constraints such as budget limitations and sell-through rates
+ Contribute to large-scale optimization and statistical analysis in web analytics, forecasting, supply chain management, pricing and inventory management
+ Contribute to the tuning of models by adjusting objective functions, constraints, etc.
Skills & Experience
+ Experience using commercial or open-source optimization tools such as Gurobi, Pyomo, CPLEX, etc
+ BS in Operations Research, Data Science, Computer Science, Machine Learning, Applied Mathematics, or equivalent quantitative field
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
+ Supply chain management
+ Marketing models
+ Logistics experience
-