Data Scientist, Intern

location_on New York · Posted Oct 15, 2026
Salary Range
Market Benchmark
per year (USD)
Verification Score
verified_user 100% Audited
Direct ATS feed sync
Hiring Company Verified Engineering Hub
Original Source
Duolingo Greenhouse Board
No middleman fees
troubleshoot

Skill Compatibility Diagnostics

Live technical match evaluated against role architecture & expected skills.

Zero Data Stored
33% Potential Stretch

Consider reviewing the missing technical prerequisites before submitting your application.

Matched Core Skills
check Python
Complementary Prerequisites
Software Engineering Systems Design

Your skills are processed strictly in-memory and never saved to a database.

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 Greenhouse Board, 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

As a Data Scientist Intern in New York, NY or Pittsburgh, PA, you will play an integral role in driving business results and shaping product roadmaps through data-driven insights. You will collaborate closely with product and engineering teams, applying advanced analytical and AI methods to model user behavior, evaluate product experiments, and ensure top-tier data quality as we scale our culture of fact-based decision-making.

task_alt

Key Technical Responsibilities

  • check_circle Derive insights from data to influence product roadmaps and drive business results
  • check_circle Apply advanced analytical and AI methods to model user behavior and estimate the impact of potential new feature implementations
  • check_circle Collaborate with product and engineering teams to develop solutions
  • check_circle Evaluate product experiments to create and improve user experiences
  • check_circle Develop dashboards, reports, and/or forecasts
  • check_circle Ensure the quality of our tracking and data collection
  • check_circle Help preserve our culture of fact-based decision making as we scale
verified

Prerequisites & Qualifications

  • check Pursuing an Undergraduate or Masters degree in a quantitative field (e.g., statistics, economics, computer science, math, linguistics, computational social science, ML/AI) with expected graduation in Fall 2027 or Spring/Summer 2028
  • check Strong understanding of consumer digital products and an interest in applying advanced analytics to business outcomes
  • check Previous experience analyzing large datasets and communicating results
  • check Skilled in SQL, Python or R, and/or statistical methods to analyze behavioral data
  • check Excellent presentation and communication skills
  • check Enthusiasm for learning and sharing analytical methods to help grow a collaborative Data Science team and data-forward company culture
  • check Able to relocate to Pittsburgh, PA or New York, NY
Ready to apply to Duolingo Greenhouse Board?
You will be redirected directly to the official hiring portal.
Apply Now open_in_new

About Duolingo Greenhouse Board

Verified hiring organization details.

View Company Profile →

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.

Engineering Culture: Aligned with Duolingo's broader corporate ethos, the organization emphasizes innovation, data-driven decision-making, and making education free and accessible to all. Engineering and operational standards focus on scalability, user-centric design, and continuous experimentation to optimize learning outcomes.
Data Scientist, Intern
Verified Listing
Apply open_in_new