Data Scientist

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Join us in our mission to provide students with a safe and stimulating learning environment! At GoGuardian, you’ll get to work with interesting and motivated people and solve challenging problems in a great environment. You’ll be a joining a fluid, talented, and innovative engineering team with a highly capable data infrastructure focus. At GoGuardian, we pride ourselves on bringing the very best talent to empower millions of student lives in the most impactful way.

We are hiring a highly motivated Data Scientists at varying levels to help us reshape the student learning experience. This is a hands-on, dynamic opportunity that will require building production quality models for cutting edge educational technology products. This means being part of a team that will enable GoGuardian to deliver crucial insights to students, teachers, counselors, and parents about a student’s educational journey.

Here is what you’ll help us with:

  • Collaborating across teams to develop data products driven by business needs
  • Extracting and transforming data in a reliable, repeatable manner
  • Empirical exploration striving to identify and isolate signal from noise
  • Building machine learning models and deploying them as production services at scale
  • Building tooling to support such efforts such as unit testing, automated deployment testing, model performance tracking, etc.
  • Communicating methods and findings in written reports, presentations, and dashboards
  • Building the best data science team in LA (as a start...)
  • Making nerdy jokes about the android from Star Trek Next Generation

Absolute Must Haves Before Applying:

  • 2 or more years prior experience as a data scientist and a record of delivering data science products to production. Senior Data Scientist roles are available for highly qualified candidates.
  • An advanced degree in a quantitative field (math, statistics, engineering, science, etc.)
  • An outstanding ability to communicate complex findings in a clear and simple manner with excellent written and oral communication skills
  • Advanced skills in either R or Python
  • Proven self-learner with either the drive or talent to learn very quickly
  • Experience using AWS or GCP
  • Plenty of experience with traditional statistics and ML approaches
  • Experience extracting data from a variety of sources in a variety of formats
  • Knowledge of best practices in coding/scientific projects

Bonus Points:

  • A PhD in quantitative field
  • Publications in peer-reviewed journals demonstrating experimental design and analytics analysis excellence
  • Experience using Docker in production
  • NLP and RNN/LTSM experience
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Location

2030 E. Maple Avenue, El Segundo, CA 90245

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