About the Role

As Manager, Data Science, you will manage a data science team and work with cross-functional partners to solve business challenges and promote data-driven decision-making with advanced data analysis and machine learning.

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

Addendum

DECISION SCIENCE 

Accountabilities

• Guide the understanding of 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

• Manage large-scale optimization and statistical analysis in web analytics, forecasting, supply chain management, pricing and inventory management

• Decision Science organization

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 building pricing models

• Time Series Forecasting experience

• Neural Networks