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Lead Data Scientist

Location
Beaverton, OR

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Beaverton
Oregon
Become a Part of the **MEMBERS ONLY**SIGN UP NOW***.. Team
**MEMBERS ONLY**SIGN UP NOW***.. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game.
Nike Supply Chain experts ensure that every year 900 million pieces of footwear, apparel and equipment arrive at the right destination on time. That’s no easy task. The complex process involves more than 50 distribution centers, a network of thousands of accounts, and more than 100,000 retail stores around the world. Supply Chain professionals from Laakdal, Belgium, to São Paulo, Brasil, make it happen. They constantly push for ways to make Nike’s supply chain faster, more efficient and more responsive to Nike’s always-changing consumer needs.
Description
At Nike we are always on the offense, and we are looking for talented self-starters with a passion for advanced analytics to join our growing team. We are responsible for leveraging predictive and prescriptive analytics to enhance decision making and drive to action against our strategic priorities, elevating the function of analytics within Nike.
As a Lead Data Scientist on our Demand and Supply Management team, you will play a lead role on a team of cross-functional partners and analytics professionals to identify, scope, suggest new opportunities, and execute high-impact analytics projects. You will employ advanced data modeling and operations research techniques to prescribe actionable recommendations to drive value for Nike.
The role is perfect for a team player with strong hands-on analytics experience, drive, and curiosity. You know how to rise above the numbers and explain the essential insights to business users, and you instinctively minimize complexity to focus on results. While you rely on data to prove your point, you love to think outside the box and solve problems creatively. Your experience helps you prioritize and overcome blockers and guide the work of others on your team. You thrive in an entrepreneurial environment, and you are excited by the challenge of building something from the ground up. You ask questions, are continually learning as well as finding opportunities to share knowledge with others.
Qualifications
Advanced quantitative degree (Operations Research, Management Science, Industrial and Systems Engineering, Statistics, Mathematics, Economics, Computer Science or related field) and at least 5 years of related industry experience or Bachelors degree and 7-12 years related industry experience. Supply chain planning and operations, E-commerce and store retail experience preferred.
Demonstrated strong technical, analytical skill set to work with analytics toolkit (R, Python, SQL, Alteryx, AIMMS, Gurobi/CPLEX, AnyLogic, Hadoop, Amazon Web Services (AWS), SAS, Tableau, scheduling tools) on large data sets
Experience building and maintaining predictive and/or prescriptive models in production at enterprise scale
Experience developing and running simulation, optimization, and what-if scenario planning tools to support decision making
Demonstrated ability to use data to influence decision making. Strong project management capabilities to manage multiple project streams and complexity; propensity for thinking through projects in a process-oriented way required
Proven ability to sift through data, identify critical information, analyze, develop hypothesis and make recommendations to broader audience required
Proven track record of working cross functionally to develop innovative solutions using advanced analytics
Prior experience synthesizing and packaging complex analyses and delivering results to non-technical audiences including senior leadership teams
Demonstrated understanding of the principles of experiment design & analysis
Excellent written and verbal communication skills, including ability to develop and deliver presentation
Familiarity with agile development methodology
Utilizes appropriate quality checks to ensure the results are sound
Qualifications
Advanced quantitative degree (Operations Research, Management Science, Industrial and Systems Engineering, Statistics, Mathematics, Economics, Computer Science or related field) and at least 5 years of related industry experience or Bachelors degree and 7-12 years related industry experience. Supply chain planning and operations, E-commerce and store retail experience preferred.
Demonstrated strong technical, analytical skill set to work with analytics toolkit (R, Python, SQL, Alteryx, AIMMS, Gurobi/CPLEX, AnyLogic, Hadoop, Amazon Web Services (AWS), SAS, Tableau, scheduling tools) on large data sets
Experience building and maintaining predictive and/or prescriptive models in production at enterprise scale
Experience developing and running simulation, optimization, and what-if scenario planning tools to support decision making
Demonstrated ability to use data to influence decision making. Strong project management capabilities to manage multiple project streams and complexity; propensity for thinking through projects in a process-oriented way required
Proven ability to sift through data, identify critical information, analyze, develop hypothesis and make recommendations to broader audience required
Proven track record of working cross functionally to develop innovative solutions using advanced analytics
Prior experience synthesizing and packaging complex analyses and delivering results to non-technical audiences including senior leadership teams
Demonstrated understanding of the principles of experiment design & analysis
Excellent written and verbal communication skills, including ability to develop and deliver presentation
Familiarity with agile development methodology
Utilizes appropriate quality checks to ensure the results are sound
**MEMBERS ONLY**SIGN UP NOW***.. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.
**MEMBERS ONLY**SIGN UP NOW***.. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job ID:
00394355
Location:
United States-Oregon-Beaverton
Job Category:
Supply Chain

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