Nike Senior Data Scientist - Market Sensing and Forecasting in Beaverton, Oregon

Become a Part of the NIKE, Inc. Team

NIKE, Inc. 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 analytics to enhance decision making and drive to action against our strategic priorities, elevating the function of analytics within Nike.

As a Senior Data Scientist on the Market Sensing and Forecasting team, within the Demand and Supply Management (DSM) organization, you will develop new sophisticated algorithms and improve existing approaches based on statistical/econometric models, machine learning techniques and big data solutions to forecast the demand for Nike’s product portfolio. You will be a key contributor to the building, scoring, implementing, tracking, updating and promoting Nike’s central forecasting platform that provides actionable insights and supports critical business and investment decisions.

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 (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.

  • Demonstrated understanding of market demand and supply interactions. Working knowledge of forecasting techniques, such as surveys, trend analysis, econometric models and machine learning algorithms.

  • Strong technical skill set to work with analytics toolkit (R, Python, Spark, SQL, Hadoop, Amazon Web Services, SAS, Tableau) on large data sets.

  • Experience in building, training, scoring, tuning and maintaining predictive models in production at enterprise scale.

  • Proven ability to sift through data, identify critical information, analyze, develop hypothesis and make recommendations to broader audience.

  • 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.

  • Excellent written and verbal communication skills, including ability to develop and deliver presentation.

  • Familiarity with agile development methodology.

Qualifications

  • Advanced quantitative degree (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.

  • Demonstrated understanding of market demand and supply interactions. Working knowledge of forecasting techniques, such as surveys, trend analysis, econometric models and machine learning algorithms.

  • Strong technical skill set to work with analytics toolkit (R, Python, Spark, SQL, Hadoop, Amazon Web Services, SAS, Tableau) on large data sets.

  • Experience in building, training, scoring, tuning and maintaining predictive models in production at enterprise scale.

  • Proven ability to sift through data, identify critical information, analyze, develop hypothesis and make recommendations to broader audience.

  • 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.

  • Excellent written and verbal communication skills, including ability to develop and deliver presentation.

  • Familiarity with agile development methodology.

NIKE, Inc. 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.

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.

Job ID: 00401000

Location: United States-Oregon-Beaverton

Job Category: Supply Chain