Job Details

Overview

Machine Learning Engineer – Nike USA Inc. – Beaverton, OR. Develop robust advanced analytics and machine learning solutions with direct impact on the Supply Chain infrastructure. Own projects end-to-end from conception to operationalization, demonstrating understanding of the full software development lifecycle. Provide technical vision and guidance to teammates; work with the AI/ML team; solve machine learning problems at scale; design and implement scalable applications that leverage prediction models and optimization programs to deliver data-driven decisions with immense business impact. Contribute to core analytics and ML platforms and tools to enable both prediction and optimization model development. Develop and share new skills, mentor, and contribute knowledge and software back to Nike's analytics and engineering communities. Collaborate with the global team, commercial and consumer analytics, and enterprise architecture teams. Telecommuting is available from anywhere in the U.S., except from SD, VT, and WV.

Responsibilities

• Own projects end-to-end from conception to operationalization.
• Design and implement scalable applications that leverage prediction models and optimization programs.
• Provide technical vision and guidance to teammates and collaborate with AI/ML teams.
• Contribute to core analytics and machine learning platforms and tools.
• Mentor and share knowledge with analytics and engineering communities.
• Work with global, commercial, consumer analytics, and enterprise architecture teams.
• Deliver data-driven decisions that drive business impact.

Qualifications

• Must have a Master's degree in Computer Science and Engineering, Machine Learning, Data Science, or Computer Information Systems, and 2 years of experience in the job offered or an engineering-related occupation.
• Experience must include:
• Agile Software Development
• ETL
• Git
• Docker
• REST API
• Python
• AWS
• Pandas
• Machine Learning

Apply at www.Nike.com/Careers (Job# R-70336)

#LI-DNI

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you need assistance or an accommodation due to a disability during the application process, please complete the Candidate Accommodation Request Form.