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Role Specific Information
Job Description
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
Skills & Experience
• Experience using commercial or open source optimization tools such as Gurobi, Pyomo, CPLEX, etc.
• Bachelor’s of Science with 5+ years of experience (or Masters of Science with 2+ years experience) in Operations Research, Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field
• 2+ years of managerial or leadership experience in Data Science, Analytics or Decision Science organizations
What Skills You Have
• 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
• Supply chain management
• Marketing models
• Logistics experience
Essential Functions
• Ability to perform the accountabilities listed in the “What You’ll Do” Section
• Ability to comply with dress code requirements
• Basic math and reading skills, legible handwriting, and basic computer operation
• Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the company
• Ability to learn and comply with all company policies, procedures, standards and guidelines
• Ability to give direction and to receive, understand and proactively respond to direction from leadership and other company personnel
• Ability to work as part of a team and interact effectively and appropriately with others
• Ability to maintain composure and work in a fast paced environment while accomplishing multiple tasks within established timeframes
• Ability to satisfactorily complete company training programs
• Ability to use a personal computer for tasks such as communicating, preparing reports, etc.
• Ability to plan, prioritize and monitor activities across business units
• Ability to complete or oversee the completion of assigned projects in a timely manner