What are the responsibilities and job description for the Manager, Data Science (Remote) position at KOHLS?
About the Role
As Manager, Data Science, you will manage a data science team in the Merchandise Financial Planning balanced team to solve business challenges related to long-term forecasting and promote data-driven decision-making with advanced data analysis and machine learning. In addition, you will coordinate with other data scientists and balanced-teams to accomplish shared initiatives.
What You’ll Do
Attract, retain, develop, manage, coach and assess data scientists in a balanced team
Work with product, engineering and design leads and leverage data-driven insights to make decisions, set goals, prioritize work and achieve team objectives
Lead end-to-end data science projects from problem formulation to model deployment, ensuring high-quality deliverables that meet business needs
Oversee the design of experiments that answer targeted questions
Identify and drive continuous improvement of key business metrics within assigned team
Translate data science outputs into business outcomes and value delivered
Maintain strong business partner relationships to gain cross-organizational alignment, spur adoption and usage of data science capabilities and drive business outcomes
Remain current on the latest trends and developments in data science and technology and identify areas that offer the greatest return on investment
Additional tasks may be assigned
What Skills You Have
Required
Expertise in developing and deploying state-of-the-art algorithms using machine learning and statistical and optimization methods to power various aspects of highly complex business models and deliver value
Expert in 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 efficacy of new strategies or initiatives and iterating quickly based on results
Proven success guiding teams through unstructured technical problems
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or equivalent quantitative field
5 years (or 2 years with a Master’s degree) of progressively complex data science experience
2 years of managerial or leadership experience in data science or analytics organizations
Preferred
Master's degree and/or Ph.D.
Retail experience
Experience in supply chain, merchandise, inventory planning and operations planning
Experience building long-range time series forecasts, preferably from a financial planning standpoint
Experience in optimization
Strong communication skills and experience mentoring ICs
