Learn languages by playing a game. It. Backed by Kleiner Perkins, NEA and USV.
About the role
This person will embed with one or more product development teams, working collaboratively and cross-functionally to increase the impact of product iteration and experimentation. The ideal candidate combines deep technical fluency in data science and machine learning with exceptional communication skills and an acute product sense. They can identify the right questions to ask, use data analysis to create clarity in decision making, and deliver scalable data products and models as the situation demands.
What they're looking for
- Experience working as a Data Scientist embedded with or supporting a product development team. You have experience creating value from data in messy real-world settings
- Exceptional communication skills, both written and verbal, with the ability to distill complex quantitative work into crisp, actionable insights for diverse audiences
- A graduate degree in Data Science, Statistics, Economics, or a related quantitative field, or equivalent demonstrated expertise in formal analysis methodology
- Strong command of SQL, Python or R, AI tools, and data/analytics engineering ecosystems
- Fluency with standard machine learning and predictive modeling techniques
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.
This person will embed with one or more product development teams, working collaboratively and cross-functionally to increase the impact of product iteration and experimentation. The ideal candidate combines deep technical fluency in data science and machine learning with exceptional communication skills and an acute product sense. They can identify the right questions to ask, use data analysis to create clarity in decision making, and deliver scalable data products and models as the situation demands.
- Embed within one or more product development teams, building...
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