ClassDojo's goal is to give every child on Earth an education they love.

We started by building a powerful network for communication. ClassDojo’s flagship app is the #1 communication app connecting K-8 teachers, children, and families globally. Teachers use it to share what’s happening throughout the day through photos, videos, and messages that make parents feel like they’re there. It’s actively used in over 95% of US schools, reaching over 50 million children in 180 countries, with a team of just around 200 people [1]. We are now beginning to use this network to give kids the best learning experiences in the world, far beyond those a standard school can provide.

We hire for talent density. Our team comprises the most talented, entrepreneurial, and innovative teammates from around the world, with experience in education and large scale consumer internet companies, including Instagram, Netflix, Dropbox, Stripe, Uber, Y Combinator, and more. We’re building a company where the most talented people want to work. We believe you’ll do the best work of your life here—and you’ll pioneer the future of education, too.

What you’ll do:

Data is core to how ClassDojo makes decisions. As a staff data scientist, you’ll help build the world's leading consumer education business, one that is already reaching tens of millions of parents, teachers, and children. You’ll help grow ClassDojo to our next major milestones while deepening love for our brand.

The data science function at ClassDojo is an equal partner to product, engineering, and design. As a senior leader on a high-performing, cross-functional team, you'll shape the company’s strategic direction. You and the team will tackle a broad range of product and business problems: uncovering unique user insights and identifying and testing critical product improvements.

You will be a match if:

  • You have at least 8 years of experience in a data science role
  • You have experience working in consumer tech 
  • You have the ability to write structured and efficient SQL queries on large data sets
  • You have experience designing AB/multivariate tests and drawing actionable conclusions

You might be a good match if:

  • You have expert knowledge within growth, in particular of consumer products. 
  • You have experience within fast paced startup environments
  • You are a strong communicator: you are able to clearly articulate your thinking, verbally and in writing. You proactively share your work, even if it’s still in progress, bringing the team along with you. You have a sharp ambiguity filter, always seeking to clarify what is unclear for yourself and for others.
  • You are a strong product focused strategic thinker: you thrive in identifying and refining product problems to solve. You have the ability to think about high level product strategy and you have a vision for how data can help drive that strategy. 

[1] Some more context:

(If you are on LinkedIn, you will not be able to access the hyperlinks below. Once you click apply, you will be directed to our career website (if you are not on there already) and will be able to access the hyperlinks)

Click here if you're interested in learning more about what we've been up to.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. In accordance with the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are happy to accommodate any disabilities or special needs. We are a distributed company, so we hire regardless of location, as long as you are willing to have significant hours overlap with one of the Americas time zones.

ClassDojo takes a number of factors into consideration when determining compensation, including geographic location, experience, and skillset. Salary ranges (United States):

CA, WA, NY, NJ, CT states: $203,000 - $250,000 (USD)

All other states in the US: $172,500 - $212,500 (USD)

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