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Teachers Pay Teachers is a community of millions of educators coming together to share their work.
Engineering, Full Time    New York    Posted: Monday, February 04, 2019
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About Us

At Teachers Pay Teachers (TpT), were unlocking the power of educator-created content. More than 2 out of 3 of U.S. teachers come to TpT every year to get teacher-tested, engaging, & rigorous materials. What began as a humble exchange for teachers looking to share lesson plans has since exploded into an education powerhouse where teachers have created more than 3 million resources for all aspects of PreK-12 education. More than five million educators worldwide (including teachers, administrators, & parents) have downloaded TpT resources more than a billion times. If you havent heard of TpT yet & want to learn more, just talk to a teacher about us. Or try thisrecent articlein Forbes.

Who we are looking for

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


As a Data Scientist (or Sr. Data Scientist) at TpT you will be working with data engineers, data analysts, & business teams including Product, Marketing, & Finance to find valuable insights about our marketplace, our systems, & our users. Youll use techniques such as statistical modeling, machine learning, natural language processing, & data visualization to explore data, test hypotheses, identify underlying causes & patterns, & find the best ways to turn these insights into better decisions & product improvements.

Qualities for a successful candidate:

  • Strong experience using statistical techniques to model & explain messy data from human behavior.
  • Strong knowledge of R or Python for data science, including reproducible research processes, data exploration & visualization, & statistical modeling.
  • Comfortable performing research in a product & business-driven, fast-paced, dynamic environment.
  • Enjoys working collaboratively with peers across business & engineering teams.
  • Outstanding communications skills, including the ability to speak clearly to technical & nontechnical audiences, present insights to groups, & write clearly.
  • Statistical & mathematical depth equivalent to a Bachelors in a scientific or engineering field, either from a degree program or experience.
  • At least two years of data science experience in industry, or an advanced degree.

Extra Credit for:

  • Experience with Ed-Tech or online marketplaces.
  • Experience with A/B testing & design of experiments.
  • Experience with search systems, recommender systems, or information retrieval.
  • Experience with advanced techniques such as NLP, Bayesian methods, statistical model selection, econometric modeling, or optimization.
  • Experience with interactive data visualization tools such as Shiny, Dash, or D3.
  • Open Source or professional community contributions.
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