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Nike Senior Machine Learning Engineer in Boston, Massachusetts

WHAT YOU BRING

  • Bachelor's degree in Mathematics, Statistics, or related field.

  • 5 years of relevant professional experience

  • Proven experience with programming languages, Python highly desired

  • Strong problem solving and analytical approach

  • Familiar with applied data science methods and machine learning algorithms

  • Familiar with data structures and algorithms

  • Effective communication skills (with team members, the business, and in code)

  • Data wrangling experience with structured and unstructured data

  • Familiar with principles of solution architecture and technical design

  • Experience with databases, processing and storage frameworks

  • Proven track record of working cross functionally

WHO ARE WE LOOKING FOR

We are seeking multiple Senior Machine Learning Engineers to join our team. As a Senior Machine Learning Engineer, you will develop robust solutions to real-world, large scale problems that have a direct impact on the business. You’ll be translating business problems into predictive models and optimization programs, implemented with professional software engineering skills. We are looking for candidates with experience in Python and a strong background in mathematics, statistics, or computer science. As well, you should have a proven history of team leadership and value delivery, and also be excited to work in a product model using Scrum.

WHAT WILL YOU WORK ON

If this is you, you’ll be working with the Advanced Analytics and Machine Learning (AAML) team at Nike. With teammates in Portland, Boston, China, and Poland, you’ll be joining a global organization working to tackle machine learning problems at scale. You’ll be crafting and implementing scalable applications that use predictive models and optimization programs to deliver data driven decisions that result in incredible business impact. You’ll also contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development. You thrive when surrounded by hardworking colleagues and seek to never stop learning. We are looking for candidates who enjoy a collaborative and academic environment where we develop and share new skills, mentor, and drive to deliver knowledge and software back to the analytics and engineering communities both within Nike and at-large.

We value and feed our culture by seeking to always be collaborative, intellectually curious, fun, open, and diverse.

WHO WILL YOU WORK WITH

In this role, you’ll be working closely with the rest of our global team, along with Commercial and Consumer Analytics, Enterprise Architecture, and Solution Architecture. This role reports to a Director of Engineering on the AAML team.

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, protected veteran status, or disability. NIKE is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call +1 503-671-4156 and let us know the nature of your request, your location and your contact information.

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