page_title

tags.new

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 - $65 USD

First Name

Last Name

Country

Phone

Location (City)

Resume/CV*

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter

Accepted file types: pdf, doc, docx, txt, rtf

School

Select...

Degree

Select...

Discipline

Select...

End date month

Select...

End date year

Preferred First Name

How do you pronounce your name? (e.g., 'An-na' or 'Ah-na')

Are you currently enrolled in a PhD program?

Select...

What is your expected graduation timeline?

Select...

Are you willing to work from the office location of the job?

Select...

Which office location are you most interested in?

Select...

Undergraduate GPA

Do you have a Duolingo account? If yes, what is your username?

Why are you interested in Duolingo?

How will your personal experiences make an impact at Duolingo?

Where did you hear about this job?

Select...

What Duolingo sponsored conferences have you attended and/or organizations are you a part of?

Rewriting the Code

ColorStack

Alternate Email

LinkedIn Profile

Website

Are you authorized to work lawfully in the United States for Duolingo?

Select...

Will you now, or in the future, require sponsorship (i.e. H-1B visa, etc.) to legally work in the U.S.?

Select...

If so, are you eligible or currently in a period of Optional Practical Training (OPT)?

Select...

After the OPT, are you eligible for a 24-month OPT extension or are currently in a 24-month OPT extension based upon a degree from a qualifying U.S. institution in Science, Technology, Engineering, or Mathematics after the Optional Practical Training (OPT)?

Select...

Voluntary Self Identification

To fulfill our mission of developing the best education in the world and making it universally available, we seek exceptional talent for every role. We recruit candidates from diverse backgrounds. To help us evaluate our hiring process for equitability, we invite U.S. applicants to share their demographic information. Participation in this survey is voluntary and confidential. Participation will not affect any hiring decisions or outcomes.

How would you describe your gender identity? (mark all that apply)

Select...

How would you describe your racial/ethnic background? (mark all that apply)

Select...

How would you describe your sexual orientation? (mark all that apply)

Select...

Do you identify as transgender?

Select...

Do you have a disability or chronic condition (physical, visual, auditory, cognitive, mental, emotional, other) that substantially limits one or more of your major life activities, including mobility, communication (seeing, hearing, speaking), & learning

Select...

Are you a veteran or active member of the United States Armed Forces?

Select...

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.

Learn more

Data Scientist, Intern (PhD)

About the role

You will...

You have...

Exceptional candidates will have...

Apply for this job

Voluntary Self Identification