Data Scientist, Intern

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

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.

• Derive insights from data to influence product roadmaps and drive business results
• Apply advanced analytical and AI methods 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
• Develop dashboards, reports, and/or forecasts
• Ensure the quality of our tracking and data collection
• Help preserve our culture of fact-based decision making as we scale

You have...

• 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
• Strong understanding of consumer digital products and an interest in applying advanced analytics to business outcomes
• Previous 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
• 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, PA or New York, NY

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 both to learn new techniques and guide others
• 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+

Why you’ll love working here…

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

Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here .
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Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact [e-mail] .
Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Hourly Range for this internship is:

$54 — $56 USD

AI in Hiring: Duolingo uses AI technology to assist in our hiring process. We want to be transparent about how we use this technology and your rights. We use Greenhouse Software's Talent Matching feature to assist with reviewing applications for the skills and experience we have decided are important for this role.

How it works:

• Talent Matching reviews your resume and responses to application questions to determine the extent to which your qualifications match the job requirements selected for this role. These requirements and their desired weighting are established by our recruiters in collaboration with hiring managers.
• All Talent Matching output is reviewed by our recruiting and hiring teams, who make the final decision on each application. Talent Matching does not automatically disposition any candidate or make hiring decisions.