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Data Scientist, Intern (PhD)

Duolingo · New York, NY; Pittsburgh, PA · On-site

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About Duolingo

Learn languages by playing a game. It. Backed by Kleiner Perkins, NEA and USV.

About the role

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Strong understanding of consumer digital products and an interest in applying advanced analytics and economics to business outcomes
  • Previous experience analyzing large datasets, communicating results to technical and non-technical senior-level audiences, and making actionable recommendations that improve the product or business
  • Skilled in SQL, R or Python, and/or statistical methods to analyze behavioral data
  • Enthusiasm for learning and sharing analytical methods to help grow a collaborative Data Science team and data-forward company culture
  • Able to relocate to Pittsburgh or NYC for the internship
More about this role

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.

Read our blog to learn more.

  • Derive insights from data to influence product roadmaps and drive business results
  • Apply advanced analytical methods, structural approaches, causal inference, and/or machine learning and AI to model user behavior and estimate the impact of potential new feature implementations, and collaborate with product and engineering teams to develop solutions
  • Evaluate product experiments to create and improve user experiences
  • Communicate and present findings and recommendations to senior management
  • Help preserve our culture of fact-based decision making as we...

Read the full posting on Duolingo's site ↗

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