Data Scientist

What do we do?

Teachers Pay Teachers (or TpT, as we call it) is a community of millions of educators who come together to share their work, insights, and inspiration with one another. We are the first and largest open marketplace where teachers share, sell, and buy original educational resources. Our community brings immediate access to a world of expertise and offers educators more time to focus on students and teaching.

The New York Times called the phenomenon we lead “A Sharing Economy Where Teachers Win.”

Why do we do it?

Our dream is to make the expertise and wisdom of all the teachers in the world available to anyone, anywhere, at any time. We believe that we can help create real good in the world by empowering the educators to teach their best.

Who are we looking for?

We modeled our company culture on the virtues of our community of teachers and we are assembling one of the most talented teams in New York. We think this article in EdSurge about sums it up.

We’re building a team of good people doing great things. We listen first. We love our work. And we are all teachers and learners in whatever we do. We believe that productivity is never an accident. It’s the result of a commitment to excellence, intelligent planning, passionate team work, and focused effort. We want every day to be fun and to matter.

Role description:

As a Data Scientist, you should be curious and passionate about understanding and using data to drive strategy and operational improvements. You will be expected to engage in both designing well-constructed analyses as well as working cross-functionally with analysts, marketers, product managers, the community team and engineers to effectively deliver actionable results. The ideal candidate should be able to “crunch the numbers” one minute and critically think through strategic issues the next.

You will have all of TpT’s data at your disposal, and it will be you who is not only helping your colleagues answer their questions, but who is asking the big questions and taking the initiative in searching for answers.  


  • Research and develop methods for measuring and analyzing TpT data
  • Conduct studies and use advanced data mining & modeling techniques to build solutions that optimize the business and maximize the value of its data
  • Simplify and explain data science work to regular business users such as product, engineering, and management teams
  • Research new ways for modeling user behavior
  • Analyze data quality issues, identifying root causes and remedies
  • Design and analyze A/B tests to answer targeted questions
  • Write and interpret complex SQL queries for standard as well as ad hoc data mining purposes

Qualities of a Successful Candidate:

  • Believe in our mission to empower educators
  • Appreciate feedback and value honest, thoughtful critique
  • Comfortable with working under pressure in a fast-paced, constantly evolving environment
  • Adaptable self-starter with a focus on driving work forward
  • Ability to extract insights from sizable data sets
  • Possess a solid understanding of data management and manipulation, information retrieval, and data analytics (e.g. data classification, text mining, search algorithms).  
  • Have a strong foundation in coding skills relevant for data science (e.g. Python, SQL, regular expressions)
  • Ability to communicate analysis methodologies and results to different audiences


  • BA/BS in a quantitative discipline (e.g. Statistics, Mathematics, Physics, Computer Science)
  • 3-5 years of relevant work experience
  • Proficient in key statistical techniques (e.g. predictive modeling, logistic regression, decision trees, data mining methods, forecasting, neural networks and other advanced statistical and econometric techniques)

Extra Points:

  • Experience with Amazon AWS infrastructure and UNIX/Linux operating systems
  • Experience with machine learning and recommender systems
  • Experience with integrating data with business intelligence and sales software (e.g Looker, Salesforce)



Meet Some of Teachers Pay Teachers's Employees

Laura P.

Community Specialist

As a Community Specialist, Laura splits her time between community outreach and analysis, always focused on determining the best way to serve the needs of TpT’s community of educators.

Charlotte W.

Product Manager

As a product manager on the Search & Discovery Team, Charlotte spends her time collaborating with designers, tech-leads, and engineers to optimize search results to best serve the TpT community.

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