Data Science Intern: Drive Product with AI & Insights

Duolingo; New York (NY); On-site; USD 74,000 - 77,000; Full time

Benefits offered by this job

Catered meals

Hackathon event

Dinners and social clubs

Job summary

Duolingo is offering an internship focused on data science and analytics in New York. You will derive insights to influence product roadmaps, model user behavior with AI methods, and collaborate with product and engineering teams to implement data-driven solutions.

You will build dashboards and forecasts, evaluate experiments, and ensure high-quality data tracking. The role emphasizes learning, collaboration, and sharing analytical methods within a data-forward culture.

Qualifications

• Pursuing an Undergraduate or Masters degree in a quantitative field with expected graduation in Fall 2027 or Spring/Summer 2028.
• Strong understanding of consumer digital products and applying analytics to business outcomes.
• Experience analyzing large datasets and communicating results.
• Skilled in SQL, Python or R, and/or statistical methods to analyze behavioral data.
• Excellent presentation and communication skills.
• Relocation to Pittsburgh, PA or New York, NY.

Responsibilities

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

Skills

SQL

Python

R

Data analysis

Presentation

Education

Undergraduate or Masters in quantitative field

Tools

BigQuery

Snowflake

dbt

Job description

Duolingo is offering an internship focused on data science and analytics in New York. You will derive insights to influence product roadmaps, model user behavior with AI methods, and collaborate with product and engineering teams to implement data-driven solutions.

You will build dashboards and forecasts, evaluate experiments, and ensure high-quality data tracking. The role emphasizes learning, collaboration, and sharing analytical methods within a data-forward culture.