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Data Scientist, Intern (Undergraduate)

New York, United States (On-site)

Data Scientist, Intern (Undergraduate)

2 Months ago • All levels

About the job

6 skills required for this role

Test your skills to join the top 1% applicants for this job

java

scala

python

sql

hadoop

data-driven-decisions

Job Description

Data Scientist Intern at Duolingo focuses on analyzing user behavior, driving business results, and influencing product roadmaps. Must-haves: Strong understanding of consumer digital products, experience analyzing large datasets, SQL, R, Python, statistical methods, and excellent communication skills.

Must have:

Data Analysis
SQL, R, Python
Statistical Methods
Communication Skills

Good to have:

Big Data
Cloud Computing
Java/Scala
Product Recommendations

Perks:

Language Learning
Catered Lunches

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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 finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful.

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, you will work closely with product and engineering teams to become a subject-matter expert in user dynamics at Duolingo. Specifically, you will focus on detecting, explaining and actioning against behavioral shifts within our complex, fast-changing business using massive datasets. Your superpower is the ability to translate business questions into code, and data analysis or statistical models back into decisions.

You will...

Derive insights from data to influence product roadmaps and drive business results
Apply advanced analytical methods to model user behavior, 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...

Strong understanding of consumer digital products and an interest in applying advanced analytics to business outcomes
Pursuing an undergraduate degree in a quantitative field (e.g., statistics, economics, computer science, math, linguistics, computational social science) with expected graduation in the Spring of 2026 (or Fall 2025)
Previous experience analyzing large datasets and communicating results
Skilled in SQL, R, Python, and/or statistical methods to analyze behavioral data
Excellent presentation and communication skills
Able to relocate to Pittsburgh, PA

Exceptional candidates will have...

Experience with "big data" and cloud computing technologies like Redshift, Hadoop, Hive, BigQuery
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
Programming experience in Java or Scala is a plus

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!

Take a peek at how we care for our employees' holistic well-being with our benefits here.

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 your recruiter.

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.

By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.

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About The Company

Duolingo

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Duolingo is the world’s most popular way to learn a language. Our mission is to develop the best education in the world and make it universally available.

Founded in 2011 by Luis von Ahn and Severin Hacker, Duolingo is the most downloaded education app in the history of the App Store and in 2019 became the top-grossing education app worldwide. The app has been awarded Apple's iPhone App of the Year and Android's Best of the Best.

Learning a new language used to be expensive; we believe it should be free. Over 1.2 billion people are learning a second language and most of them are learning English to improve their lives.

Learning a new language is hard; we believe it can be fun. We use bite-sized lessons that feel like playing a game to keep our learners motivated.

With over 500 million learners we have unprecedented data insights on how people learn. Our teams of language learning scientists, machine learning engineers, and AI experts use this data to constantly improve our effectiveness. We’re building a future in which the highest-quality education is accessible to all.

Duolingo has raised US $138 million from investors including Union Square Ventures, Capital G (formerly Google Capital), NewView Capital, Kleiner Perkins Caufield & Byers, Drive Capital, Ashton Kutcher and Tim Ferriss.

Duolingo has been named to: BuiltIn's Best Places to Work (2023), Fast Company Best Workplaces for Innovators (2022), Fast Company 10 Most Innovative Education Company (2022), Best Machine Learning Startups for by Glassdoor (2020), Forbes' "Next Billion Dollar Startups" (2019), CNBC's Disruptor 50 (2018, 2019), Fortune's "Change the World" list (2019), TIME Magazine's Genius Companies (2018), Fast Company's "Most Innovative Companies" (2017, 2018, 2020), Inc.'s "Best Places to Work" (2018), Entrepreneur's "Top Company Cultures" (2018).