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Data Scientist, AnalyticsSan Francisco, California, United States


Data Scientist, Analytics

San Francisco | California | United States

Who We are:

Tonal is building an intelligent fitness system that will change the way people work out at home. It isn't a wearable or mobile app. Tonal is a fresh approach to fitness that leverages hardware, software, video content, and artificial intelligence. Everyone who's seen our product, from professional athletes to fitness enthusiasts, has fallen in love.

Tonal is a well-funded and fast growing startup that has built a close-knit culture of high performers. Led by repeat entrepreneurs, we're a diverse team where everyone strives to be the best version of themselves, and we know that can't happen unless we're all having fun working on something that has meaning to us. If you're passionate about both a healthy lifestyle and technology, then check us out!


Tonal generates business critical data from multiple disparate sources; including operations, logistics, sales, customer support, as well as customer specific exercise and fitness telemetry. We are looking for a master data squirrel to analyse and translate into a meaningful impact to the business. This is not big data: this is tactical business critical data with immediate impact.

You will have a background in a quantitative or technical field, with experience working with large data sets and success in collaborating with cross functional teams.

Who You Are

  • 5+ years of experience doing quantitative analysis.
  • BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field.
  • Experience in SQL or other databases
  • Development experience in any scripting language (PHP, Python, Perl, etc.)
  • Understanding of statistics (e.g., hypothesis testing, regressions)
  • Experience manipulating data sets through statistical software (ex. R, SAS) or other methods
  • Experience with ERP and CRM systems like Netsuite or Salesforce
  • Ability to organize and present complex data to technical and non-technical audiences
  • Team player with high integrity
  • Open to feedback with an ongoing desire to improve
  • High degree of self awareness

What You Will Do

  • Link separate data sources into usable formats
  • Perform data analysis to extract useful business insights
  • Design and implement reporting dashboards that track key business metrics
  • Work closely with cross functional teams to provide useful analysis
  • Implement backend software to automate data processing
  • Automating analysis and authoring pipelines via SQL and Python based ETL framework

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