People, Person, Apparel, Clothing

Machine Learning and Advanced Analytics Engineer

Machine Learning and Advanced Analytics Engineer

Hilversum | North Holland | Netherlands

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.

Technology

Nike, Inc. Technology is responsible for making the world's largest sport brand run faster, smarter and more securely. From infrastructure to security and supply chain operations, Technology specialists drive growth through top-flight hardware, software and enterprise applications. Global Technology aggressively innovates solutions to drive growth while creating and implementing tools that help make everything else in the company possible.
Description

Nike is looking for a talented Machine Learning Engineer to join our growing team. You will work on a variety of complex business problems such as forecasting, personalization, and inventory optimization. 
You will work with a team of software engineers and data scientists to come up with new and interesting hypotheses, test them, and productionalize and scale them in the cloud as APIs, stream processing, or massive batch processing. 

You will leverage big data, parallel processing technologies, advanced analytics, machine learning, and deep learning techniques to quantitatively plan product demand, allocate resources, and target the right customers with the best products. Above all, your work will accelerate Nike's core mission of serving Athletes*.

What you'll do
  • Apply machine learning, collaborative filtering, NLP, and deep learning methods to massive data sets
  • Support investigation of new software packages/tools, APIs, and algorithms to deliver quality analytics and machine learning at scale
  • Collaborate with a cross functional agile team of software engineers, data engineers, ML experts, and others to build new product features
  • Help drive optimization, testing and tooling to improve data quality
  • Iterate on product quality through continuous A/B testing


Qualifications
  • Rock solid engineer and data scientist with demonstrated experience in in Machine Learning, AI or distributed systems development.
  • Bachelor's Degree in computer science, software engineering, or related field masters or Ph.D. preferred
  • Strong background in Machine Learning or a related field. Significant expertise in machine learning algorithms, time series, forecasting, understanding natural language or unstructured data. Deep learning experience is a plus.
  • You have experience implementing machine learning systems at scale in Java, Scala, Python or similar (not just R, Octave, or Matlab)
  • You have a strong mathematical background in statistics and machine learning
  • You care about agile software processes, data-driven development, reliability, and responsible experimentation
  • You preferably have experience with data processing and storage frameworks like Hadoop or S3, Snowflake, Spark, Flink, Cassandra or Dynamo, Kafka, etc.
  • You'll have experience with at least one these ML frameworks, tensorflow, Caffe, PyTorch.
  • You preferably have machine learning publications, project code, or work on open source to share with us


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 00434749

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