Hiring: Machine Learning Data Engineer

Join our Vancouver area Sports Tech venture bringing the worlds most advanced player / puck tracking system to hockey leagues across the globe. We’re looking for a proven Machine Learning Data Engineer to join us in building ETL data pipelines, machine learning models and next-generation sports tracking and analytics systems.

We are looking ideally for someone that has a passion for building quality systems and who likes to mix their passion of data with sports. We are offering a salary plus a healthy share options grant to own part of the venture as an early employee. Join us on our path to becoming a world leader in sensor based hockey tracking as a key team member. If you have a passion for data and sports, we would love to hear from you!

What’s in it for you:

  • Competitive Salary
  • Start-up equity position with a large share option grant
  • Flexible vacation scheduling and culture

What you’d be doing:             

  • Building out AI and Machine Learning models for sports analytics
  • Creating, implementing and optimizing ETL data pipelines and real-time data streams
  • Implementing data collection, privacy, access policies and API’s
  • Some DevOps work on Google Cloud Platform
  • Defining and advancing best practices for data technologies within the tech team

What we’re looking for: 

  • Self-driven and motivated to succeed in the Sports Analytics Industry
  • Ideally 5+ years data engineering experience and a post-secondary degree
  • Proven data engineering abilities with strong node.js and Python skills
  • Ability to work with sockets, threads, streams and AI/ML libraries
  • Expertise working with relational, non relational and multidimensional databases, Google Big Query preferred
  • Experience assessing, setting up and implementing visual analytic solutions
  • Good with math, applied statistics and quantitative modeling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
  • Some Dev Ops experience setting up docker, servers and databases

To apply, email us your resume to [email protected] with ‘Data Analytics Engineer’ in the subject line.

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