About Us

At Teachers Pay Teachers (TpT), we’re 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, and 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, and parents) have downloaded TpT resources more than a billion times. If you haven’t heard of TpT yet and want to learn more, just talk to a teacher about us. Or try this recent article in Forbes.

Who we are looking for

We’re 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:

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.

Responsibilities:

• 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

Qualifications:

• 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:

• Advanced technical degree is a plus
• 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)