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Senior Data Scientist, Supply Chain Advanced Analytics

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Technology
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00507070 Requisition #

At Nike we are always on the offense, and we are looking for hardworking self-starters with a passion for advanced analytics to join our growing team. We are responsible for using predictive and prescriptive analytics to improve decision making and drive to action against our strategic priorities, elevating the function of analytics within Nike.


Nike’s Supply Chain team ensures that every year 1.3 billion pieces of footwear, apparel, and equipment arrive at the right destination on time. That’s no easy task! Our sophisticated process involves more than 70 distribution centers, a network of thousands of accounts, and more than 100,000 retail stores around the world. Supply Chain analytics professionals constantly push for ways to make our supply chain faster, more efficient and more responsive to Nike’s always-changing consumer needs.


As a Senior Data Scientist 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 measurable recommendations to drive value for Nike.


The role is ideal for a great teammate 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 in an unexpected way and tackle 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 fired up 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.

Requirements for this position include:

  • 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 technical, analytical skill set to work with analytics toolkit (R, Python, SQL, Alteryx, AIMMS, Gurobi/CPLEX, AnyLogic, GoogleORTools, 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. Ability to lead multiple project streams with multifaceted complexity; propensity for thinking through projects in a process-oriented way required
  • Demonstrable ability to sift through data, identify critical information, analyze, develop hypothesis and make recommendations to broader audience required
  • Consistent 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

NIKE, Inc. 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.

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Someone applied to the Nike Newark Retail Sales Associate Seasonal ("Athlete") position as a result of Andrea Crawford's referral. About an hour ago
Someone applied to the Nike Redlands Retail Sales Associate Seasonal ("Athlete") position as a result of Najjiya Coussey's referral. About an hour ago
Someone applied to the Senior Administrative Assistant – North America Supply Chain position as a result of Molly Cochran's referral. 2 hours ago
Someone applied to the Nike Orlando Vineland Retail Sales Associate Seasonal ("Athlete") position as a result of Dwight Bell's referral. 2 hours ago
Someone applied to the Nike Redlands Retail Sales Associate Seasonal ("Athlete") position as a result of Najjiya Coussey's referral. 3 hours ago

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