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

• 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
  

• 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