Principal Data Scientist, Enterprise AI & ML Reusable Products Open to remote work, except the following locations: CO, SD, VT, and WV

Remote Vereinigte Staaten, Beaverton Nike vor 1 Monat
English

Werde Teil des Teams von NIKE, Inc. Team

NIKE, Inc. stattet nicht nur die besten Athleten der Welt aus. Wir erkunden neue Möglichkeiten, finden Wege und überwinden die Grenzen des Machbaren. Unser Unternehmen sucht nach Menschen, die wachsen, denken, träumen und gestalten möchten. Unsere Unternehmenskultur schätzt Vielfalt und belohnt Einfallsreichtum. Unsere Marke sucht Menschen, die ihre Ziele erreichen, Führungsfähigkeiten haben und den Blick in die Zukunft richten. Bei NIKE, Inc. bringen alle Mitarbeiterinnen und Mitarbeiter ihre Fähigkeiten ein und nehmen immer neue Herausforderungen mit Leidenschaft an.

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.

Who are we looking for

We are looking for an experienced Principal Data Scientist for our Enterprise AI ML Reusable Products (EARUP) team. The candidate will be responsible for leading some of the key initiatives within the newly formed EARUP team and leading the transition of Nike’s Data Science capabilities from first- and second-generation data science products to true enterprise solutions. Nike is in the midst of a digital transformation, investing heavily in data science capabilities to go after opportunities in every area of the business – marketing, digital experiences, product development, supply chain, and beyond. We’re looking for a data science leader who wants to help these teams not just solve the problems of today, but build products in such a way that enables scale and future reusability for the enterprise.

This is a technical role requiring outstanding skill and experience both in terms of the theory of machine learning and the applied side of building and scaling an ML system in production. Competitive candidates are expected to contribute at a very high level as a data scientist, software engineer, and ML researcher. Additionally, candidates should have excellent communication skills, strong product sense, an ability to prioritize and be self-motivated.

What will you work on

In this role you will…

  • Collaborate with EARUP and DS Leadership in building out the roadmap
  • Co-develop and co-maintain with engineering a highly visible library of reusable AI ML artifacts/components including but not limited to Feature Stores, Experiment Management, Model factory, Workflow orchestration, Model evaluation packages and Governance
  • Design and implement ML tools that will increase the speed and efficiency of our data science efforts
  • Apply advanced statistical methods to a broad range of problems
  • Build benchmark datasets and tools to increase offline testing capabilities
  • Keep up with the latest research and disseminate the most relevant new ideas in e-commerce and recommendation.
  • Collaborate with the broader data science community within Nike
Who will you work with

You will be the leader of the EARUP team, reporting into the Director of EARUP. As a horizontal function, the EARUP team will collaborate with data science teams across the company, including Search Data Science, Core Commerce Data Science, Communications Data Science, Activity Data Science, Product Design & Merchandising Data Science, and more. You will partner closely with our ML Platform and Data Engineering teammates.

In addition, as a member of the data science community at Nike, you will participate in our data science labs, study groups, team activities, and attend conferences.

What you bring
  • Masters or PhD in computer science, statistics, applied math, or other quantitative discipline
  • Proven experience creating and growing large-scale production learning systems
  • Experience building a core system for the creation of adaptive user experiences intended to drive significant gains in engagement and conversion via personalizing web pages, mobile apps, emails, and other critical consumer touchpoints
  • Experience developing strong partnerships with data science and engineering teams
  • Experience communicating technical roadmaps to business leaders
  • Experience with Python, and deep learning libraries such as TensorFlow or PyTorch.
  • A product and entrepreneurial mentality
  • Experience with Databricks, Kubeflow, Amazon AWS and SageMaker
  • Strong understanding of data structures, algorithms, and distributed computing, both for data and optimization
  • Influencing without authority
  • A willingness to tackle any problem

Open to remote work, except cannot work in Colorado, South Dakota, Vermont, and West Virginia. These candidates will be required to relocate.

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.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Nike requires all applicants for this position to be vaccinated for COVID-19 as a condition of hire. As an equal opportunity employer, Nike will make accommodations to individuals who cannot be vaccinated in accordance with applicable law.


NIKE, Inc. ist ein Wachstumsunternehmen, das nach Mitarbeiterinnen und Mitarbeitern sucht, die mit uns wachsen möchten. Nike bietet ein großzügiges Leistungspaket, ein ungezwungenes Arbeitsumfeld, eine vielfältige und inklusive Unternehmenskultur und eine Atmosphäre, die berufliche Weiterentwicklung begünstigt. Unabhängig von Standort und Rolle verfolgen alle Beschäftigten von Nike gemeinsam ein Ziel: Jedem Athleten* der Welt Inspiration und Innovation zu bringen.

NIKE, Inc. legt bei der Auswahl seiner Mitarbeiter Wert auf Vielfalt. Wir prüfen qualifizierte Bewerber ohne Berücksichtigung von ethnischer Zugehörigkeit, Herkunft, Religion, Nationalität, Alter, sexueller Orientierung, Geschlecht, Geschlechtsidentität, Veteranenstatus und Behinderung.