Data Scientist, Intern (PhD)

Duolingo • Pittsburgh, PA

1d • $63 - $65

About The Position

Duolingo is hiring a PhD-level Data Scientist intern to help advance its mission of developing the best education in the world and making it universally available. The role uses data science and advanced analytics to understand learner behavior, inform product decisions, evaluate experiments, and drive business results. The intern will work with product and engineering teams and communicate findings to senior management while supporting a fact-based decision-making culture.

Requirements

• Be pursuing a PhD in a quantitative field and be at least in the third year of the program; examples include Economics, Finance, Statistics, Math, Linguistics, Computer Science, Computational Social Science, and ML/AI.
• Ideally plan to graduate in Fall 2027 or Spring/Summer 2028.
• Have a strong understanding of consumer digital products and an interest in applying advanced analytics and economics to business outcomes.
• Have previous experience analyzing large datasets, communicating results to technical and non-technical senior-level audiences, and making actionable recommendations that improve a product or business.
• Be skilled in SQL, R or Python, and/or statistical methods for analyzing behavioral data.
• Be enthusiastic about learning and sharing analytical methods.
• Be able to relocate to Pittsburgh or NYC for the internship.

Nice To Haves

• Experience with big data and cloud computing technologies such as BigQuery, Snowflake, and/or dbt.
• Experience articulating business questions and using available data to find answers that translate into product recommendations.
• Be a self-starter who wants to learn new techniques and guide others.
• Previous experience or internships in applied business settings.
• Familiarity with AI tools such as Cursor, prompt engineering, and a desire to continue innovating and learning in AI.
• A GPA of 3.5 or higher.
• A Duolingo streak.

Responsibilities

• 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.
• 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 a culture of fact-based decision-making as the company scales.
• Share analytical methods to support a collaborative Data Science team and data-forward company culture.

Benefits

• Language learning opportunities.
• Catered in-house lunches and breakfast.
• Company-wide Hackathon.
• PTO and company holidays.
• Frequent company-wide dinners, monthly celebrations, and social clubs.
• Intern benefits are available; the posting directs applicants to ask their recruiter for details.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree