People, Person, Apparel, Clothing

Senior Data Scientist

Senior Data Scientist

Beaverton | Oregon | United States

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, Inc. it's about each person bringing skills and passion to a challenging and constantly evolving game.

NIKE is a technology company. From our flagship website and five-star mobile apps to developing products, managing big data and providing leading edge engineering and systems support, our teams at NIKE Global Technology exist to revolutionize the future at the confluence of tech and sport. We invest and develop advances in technology and employ the most creative people in the world, and then give them the support to constantly innovate, iterate and serve consumers more directly and personally. Our teams are innovative, diverse, multidisciplinary and collaborative, taking technology into the future and bringing the world with it.

Nike is making a strategic push into content creation in the sports, style, running, training, fitness, nutrition, and wellness spaces where we excel. The Content Personalization team will be a foundational piece in the success in this effort. We are the ML/AI experts responsible for dynamically personalizing content experiences. We partner with the product and search science teams to power deeply personalized digital experiences across all of Nike's digital platforms. We also bring expertise in statistical inference, predictive modeling, experimental design and analysis, and unsupervised learning to understand our content, our consumers, and content retention and conversion value. We complete the circle back to our partners in content creation to help build an industry leading content ecosystem and member experience.

Our team has a collaborative, open, considerate, intellectual, problem solving style. We tackle big problems and drive innovative solutions in online learning, personalization, computer (image and video!) vision, image and video creation, predictive and temporal modeling, advanced metric creation, and statistical inference. We are leaders helping define how Nike will plan, greenlight, produce, serve, and think about content-centric digital experiences and content creation.

We want folks who may specialize in one aspect of our mission and work, but are excited about being on a dynamic team with a large problem space who can help elevate their teammates and bring different perspectives to all the problems the team is solving. We want someone who loves modeling and writing code, and is excited about creating world class digital experiences for Nike members. A candidate should be experienced in state of the art statistical machine learning algorithms or statistical modeling, but also be able to think in terms of the compute processes, distributed data, probabilistic data landscapes, causality, and coupling between systems.

Ours is a growing team in a new space at Nike, so the ideal candidate is ready for technical leadership, helping to drive team excellence and defining and socializing requirements and best practices. We work closely with our partner engineering teams, and collaborate extensively with all of Nike's digital product teams to help drive design of and then deliver personalized experiences. You should be ready for partnership with teams across the company and excited about green spaces in which to make your mark.

Key responsibilities will include some of:
  • Drive full personalization of digital content experiences for Nike consumers utilizing deep learning and real time dynamic systems
  • Understand, describe, and predict the behavior of our content consuming members
  • Understand, describe, and predict response to and value of past and proposed content
  • Manage an experimentation portfolio that validates and feeds back into our core customer and content understanding


Education:
  • B.S. in CS, statistics, applied math, physics or other quantitative discipline
  • Advanced degree (Masters or PhD) preferred

Required Skills and Experience
  • 2+ years of experience in a data science or machine learning engineering role
  • Experience with moderate to large-scale data sets (>100GB) preferred
  • Experience with neural nets and deep architectures preferred
  • Ability to understand, utilize and innovate on state-of-the art machine learning algorithms and/or statistical modeling
  • Experience developing production ML/Data Science code in Python
  • Experience leveraging big data and deploying models at scale, experience with Spark a plus
  • Excellent communication and data visualization skills


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.

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