Senior Engineering Manager - Data Science

Nike | Beaverton, OR, United States

Posted Date 3/14/2019
Description
  • Work to develop and/or implement platforms to enable our Data Science Community the develop, create and deploy machine learning capabilities.
  • End to end hands-on ownership of machine learning platforms deployable across various Cloud providers – including data pipelines, model generation, training and inference engines
  • Evaluate new AI Frameworks for possible longterm platform approaches.
  • Conduct Proof of Concept (POC) projects designed to evaluate the feasibility of new data science open source projects, vendor supplied machine learning and/or AI platforms
  • Work with Data Science Community to anticipate platform needs required to support algorithm development, model management, data engineering and model serving
  • Facilitate deep technical discussions with end-users and partners
  • Provide customer feedback to product and engineering teams to help define product direction.
  • Provide domain expertise public cloud and enterprise technology
  • Advance open source development practices with the engineering team through participation in architecture, technical design and code reviews


Qualifications

Minimum Requirements:

  • 5+ years of designing and developing backend systems in a professional work environment.
  • 5+ years working with OO and functional programming languages, such as Scala, Java and/or Python.
  • 4+ years of data management experience (structure & databases, process data streams, ETLs).
  • 3+ years of experience working with SQL, NoSQL, graph and unstructured databases.
  • 2+ years of expertise in security, scaling, and load balancing.
  • 1+ years delivering solutions that run in Cloud Service Providers
  • Bachelor’s Degree in Computer Science or related field, or 8+ years of experience, MS Computer Science degree preferred.

Preferred Experience:

  • Experience with Kubernetes, Docker, AWS technologies, Linux development platform
  • Experience using one or more open source machine learning frameworks such as of TensorFlow, KubeFlow, PyTorch is a plus
  • Experience guiding the design, implementation, and operation of distributed software systems
  • Experience communicating with users and stakeholders to collect requirements, present and review technical designs
  • Development experience with Go programming and/or C/C++/Java, Python
  • Development experience with Javascript, Bash, etc.
  • Experience with Windows as a development platform is a plus, but not required
  • Experience with source code control systems like GIT, Subversion.
  • Experience using DevOps tools, like Chef, Jenkins, Circle CI, Puppet, Ansible, Cloud Formation Templates, Terraform, Docker etc.
  • Experience working with AWS, Azure or Google Cloud
  • Experience developing and using RESTful APIs (preferably micro services)
  • Knowledgeable about machine learning (concepts and application)
  • Experience or exposure to Big Data technologies (e.g. Hadoop, Spark)
  • Thorough knowledge of secure coding practices and experience with open source technologies.
  • Excellent teamwork, leadership, and time management skills
  • Excellent ability to learn new technologies in a short time
  • Excellent written and oral communication skills on both technical and non-technical topics.
  • Work in a collaborative team environment
  • Drive to accomplish team goals in a exciting work environment
  • Love to learn and develop new skills continuously
  • Thrive on working with new technologies


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: 00435883

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