Manager, Data Science (Remote)

Key Skills

Analytical and Problem solving, Data science techniques, Google Cloud Platform (GCP), Python Programming, R Programming, SQL

Job Description

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