Skill Compatibility Diagnostics
Live technical match evaluated against role architecture & expected skills.
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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.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
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.
Key Technical Responsibilities
- check_circle Embed within one or more product development teams, building strong stakeholder connections and delivering data products and analyses that move team outcomes.
- check_circle Collaborate across functional boundaries with Product Management, Engineering, Design, Marketing, and Finance across every phase of product development.
- check_circle Own the prioritization and ROI assessment of Data Science opportunities within your area.
- check_circle Translate complex findings into clear narratives for leadership and cross-functional partners, influencing strategic decisions through technical depth.
- check_circle Contribute to the analytical foundations within Growth, developing definitions, methodological guidelines, and self-serve dashboards that enable others to operate with data fluency.
- check_circle Mentor and learn from other Data Scientists both within the Growth pillar and across the company.
Prerequisites & Qualifications
- check Experience working as a Data Scientist embedded with or supporting a product development team, creating value from data in messy real-world settings.
- check Exceptional communication skills, both written and verbal, with the ability to distill complex quantitative work into crisp, actionable insights for diverse audiences.
- check A graduate degree in Data Science, Statistics, Economics, or a related quantitative field, or equivalent demonstrated expertise in formal analysis methodology.
- check Strong command of SQL, Python or R, AI tools, and data/analytics engineering ecosystems.
- check Fluency with standard machine learning and predictive modeling techniques.
About Duolingo Greenhouse Board
Verified hiring organization details.
Duolingo Greenhouse Board is associated with Duolingo, a prominent technology and software company known for its popular language-learning platform. Operating within the tech sector and maintaining a presence in New York, NY, the entity relates to hiring and board functions within the broader Duolingo ecosystem, which leverages gamification and machine learning to deliver accessible education.