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

We’re looking for a Data Scientist to join our Data Science & Analytics team, with a focus on data modeling and insights to power our User Growth. You will be responsible for analyzing how current and future product changes impact our business performance metrics, then concisely communicating those insights to partner teams. You will also work closely with engineering teams and product managers to harness that understanding and improve the app through experimentation. By working cross-functionally to empower our partners with empirical insights, you will drive real change and measurable impact for Duolingo every day.

You will...

Derive insights from data to influence product roadmaps and drive business results
Embed in teams with product managers and engineers to design, run, and analyze experiments to improve user experiences
Apply advanced analytical methods to model user behavior and estimate the impact of potential new features. Partner with product and engineering teams to develop and implement solutions
Build dashboards, reports, and/or forecasts (e.g., Sigma, Tableau, Plotly) to analyze trends, make recommendations, and help preserve our culture of fact-based decision making as we scale
Collaborate with other data scientists to level up our company's scientific capabilities and data footprint
Ensure the quality of our tracking and data collection is high (and improving)

You have...

Bachelor’s degree in a relevant field (e.g., Data Science, Economics, Business Analytics, Information Systems)
Relevant experience in data science, advanced data analytics, business intelligence, or a related field
Advanced SQL skills to build datasets that enable ad-hoc analyses and efficient visualization
Expertise in data visualization tools such as Sigma, Tableau, Hex, or Looker for full-stack data analysis, insight synthesis, and presentation
Professional or academic experience with experimentation, A/B testing, and/or causal inference
Experience in programming (e.g., Python, R) to extract, transform, clean, and analyze large amounts of data
Experience training machine learning models and deploying them in production
Outstanding problem-solving abilities and the capacity to distill complex data into concise explanations and actionable insights
Excellent verbal and written communication skills that facilitate collaboration with both technical and non-technical partners
Ability to relocate to and work in our Pittsburgh office

Exceptional candidates will have...

Master's degree in data science, economics, statistics, or an equivalent quantitative field
Familiarity with AI tools such as Cursor, a knack for prompt engineering, and a desire to continue to innovate and learn in AI
Experience at a high-growth company that has undertaken an IPO
An impressive Duolingo XP or streak!

We post a multi-level salary range for all of our roles.

This is not inclusive of the rest of our awesome portfolio that includes equity compensation and world-class benefits. Our salary ranges are the same for all US locations. Your recruiter can share more details about the range for a specific level during the hiring process. The actual salary within the range is determined by many factors including but not limited to, skills, experience, education, and internal equity.

Salary Range:

$147,900—$200,100 USD

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 accommodations@duolingo.com.

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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Data Scientist, User Growth