Data Scientist, Intern (PhD)

Duolingo University Recruitment
  • Pittsburgh, New York
  • $63–$65 Per Hour
  • Autofill and Review
8 days ago

Job Description

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.

About the role

  You will...

  • 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 scale

  You have...

  • Pursuing a PhD degree (in at least the third year of PhD program) in a quantitative field (e.g. Economics, Finance, Statistics, Math, Linguistics, Computer Science, Computational Social Science, ML/AI), ideally planning to graduate in Fall 2027 or Spring/Summer 2028
  • 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

  Exceptional candidates will have...

  • Experience with "big data" and cloud computing technologies like BigQuery, Snowflake, and/or dbt
  • Experience articulating business questions and using available data to find answers that translate into product recommendations
  • Self-starter, with a desire to both learn new techniques and guide others
  • Previous experience/internships in applied business settings
  • Familiarity with AI tools such as Cursor, a knack for prompt engineering, and a desire to continue to innovate and learn in AI
  • A GPA of 3.5+
  • A Duolingo streak

Why you’ll love working here…

  • Language learning opportunities
  • Catered in-house lunches and breakfast
  • Company-wide Hackathon
  • PTO and company holidays
  • Frequent company-wide dinners, monthly celebrations, social clubs, and so much more!

Connect with your recruiter on the benefits for interns at Duolingo!

Hourly Range for this internship is:

$63 - $65USD

Numbers & Facts

LocationPittsburgh, New York
Salary$63–$65 Per Hour

Skills

  • Analysis Skillsunmatched
  • Artificial Intelligence (AI)unmatched
  • Big Dataunmatched
  • Blogunmatched
  • Cloud Computingunmatched
  • Computer Scienceunmatched
  • Customer/Consumer Behaviorunmatched
  • Data Analysisunmatched
  • Data Scienceunmatched
  • Data Setsunmatched
  • Economicsunmatched
  • Financeunmatched
  • Linguisticsunmatched
  • Machine Learningunmatched
  • Mathematicsunmatched
  • Problem Solving Skillsunmatched
  • Product Engineeringunmatched
  • Product Planningunmatched
  • Product Testingunmatched
  • Python Programming/Scripting Languageunmatched
  • R Programming Languageunmatched
  • SQL (Structured Query Language)unmatched
  • Social Sciencesunmatched
  • Statisticsunmatched
  • Team Playerunmatched
  • User Interface/Experience (UI/UX)unmatched

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