Lead Research Engineer, Innovation

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. We look for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and innovators. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game!

WHO WE ARE LOOKING FOR

We are looking for an experienced data, software, and research engineer combination to help build, improve and deploy data acquisition systems, curation, processing, modeling and visualization pipelines that elevate and push the boundaries of sport science.

The candidate needs to have both strong programming skills and research background with demonstrated ability to work with diverse types of data relevant to sport science. This includes proven experience in data acquisition, pre-processing, management, organization, visualization, storage and versioning of complex data sets! We are looking for candidates who are self-motivated, curious and have strong interpersonal and communication skills.

WHAT YOU WILL WORK ON

If this is you, you’ll be a core member of the Advanced Innovation Collective Digital Capabilities Team. You will have the opportunity to:

• Guide the architecture, design, development and automation of complex data collection, curation, processing and analysis pipelines

• Clean, prepare and optimize data for consumption by data scientists, sport science researchers and administrators

• Design and build reusable software components, frameworks, tools and libraries for research

• Anticipate, identify and solve data management, data quality, data availability and data versioning issues

• Solve complex data-related issues, perform root cause analysis and proactively build solutions

• Develop scripts, tools, reports and dashboards for processing, organizing and visualizing large, diverse and complex data

• Develop tools and processes to analyze and profile data to enable design of new scalable solutions

• Develop, apply and promote data and software engineering standards and best practices

• Collaborate with researchers, data scientists, hardware and software engineering teams to help build, improve and deploy data acquisition systems, processing and visualization pipelines

• Lead and train others in the use, maintenance and continuous improvement of data solutions

WHO YOU WILL WORK WITH

In this role, you will primarily partner with biomechanics researchers and data scientists, and also collaborate with physiology, perception and behavioral research scientists to proactively find opportunities to leverage software, advanced analytics and machine learning in building impactful, data-powered products and solutions.

You will also work collaboratively with dynamic and multi-functional teams of product managers, designers, solution architects, software and embedded systems engineers. You will build and nurture strong, positive relationships with various partners throughout Nike and together help accelerate the development of innovative products and services with a strong scientific foundation.

WHAT YOU BRING

Required Education/Experience:

• Bachelor’s degree in a STEM-related or research discipline with 5+ years of demonstrated experience building software and data tools, OR Master’s degree in related field with 4+ years of demonstrated experience

• Proven proficiency in Python, Java, relational SQL, and NoSQL

• Proven proficiency in building cloud scalable solutions on AWS or Azure

• Proven experience in building software/tools that process complex human movement data for sport and/or exercise science research purposes

• Proven experience with source control tools such as GitHub and related development process

• Proven experience with data structures, object-oriented programming, functional-style programming, micro-services, APIs, and information systems

• Proven experience with machine learning frameworks and analytics pipelines

• Proven experience communicating technical information in written and verbal formats

• Proven experience managing multiple projects and prioritizing workstreams to reach goals

• Proven ability to pick up new programming languages, technologies, and frameworks

• Proven experience with Agile software development practices

Desired:

• Experience working in a dynamic, human-subjects-based research environment with associated tools and processes

• Experience w