Staff Data Scientist, New Subjects

<p>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!</p> <p>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.</p> <p>Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. </p> <p>Read <a href="https://blog.duolingo.com/?utm_source=greenhouse.comutm_medium=referralutm_campaign=generalblog_gh_091224">our blog</a> to learn more.</p> <hr> <h2><strong>About the role</strong></h2> <p>Our mission at Duolingo is to develop the best education in the world and make it universally available. We’re expanding beyond languages to bring joyful, effective learning in new domains – Math, Music, and Chess. These are early but strategically critical bets for Duolingo, and we need exceptional data science leadership to shape what success looks like.</p> <p>We’re looking for a trailblazing, hands-on staff-level data scientist to define and build and expand data science in our New Subjects pillar. You will be a pivotal DS voice in this space: setting the vision, leading with metrics, and embedding experimentation into how we build. You will establish and manage a team of data scientists in the pillar, with a strong IC self-focus in the beginning. If you’re excited to influence the future of education and build from the ground up, this is your moment.</p> <p> </p> <h4><strong>:brain: You will...</strong></h4> <ul> <li>Lead the end-to-end cycle of translating ideas into production-ready data solutions, ensuring they are measurable, robust, and built to last.</li> <li>Apply advanced methods (e.g. causal inference, structural modeling, machine learning) to deeply understand how learners engage with new subjects.</li> <li>Design and evaluate A/B tests, build metrics and attribution models, and help PMs, designers, and engineers make smarter product decisions.</li> <li>Collaborate with data engineering and BI to turn insights into durable data products: pipelines, dashboards, algorithms.</li> <li>Partner with product and learning leads to identify and prioritize the most impactful questions we can answer with data.</li> <li>Build and lead a small but mighty team as the New Subjects footprint grows.</li> <li>Evangelize protocols in scientific rigor and help level up data science across the org.</li> </ul> <p> </p> <h4><strong>:check: You have...</strong></h4> <ul> <li>Advance degree or equivalent experience in Data Science, Economics, Statistics or a related quantitative field.</li> <li>6+ years applying data science to real-world product problems, ideally in fast-paced environments.</li> <li>Expertise in at least one of: causal inference, behavioral modeling, experiment design, or applied ML.</li> <li>Fluency in Python and SQL, and comfort working across the stack (from raw data to dashboards).</li> <li>Exceptional clarity of thinking and communication: you make complex ideas simple and actionable.</li> <li>Experience as a tech lead or manager, with a proven ability to build and nurture talent.</li> <li>Comfortable working from our Pittsburgh HQ.</li> </ul> <p> </p> <h4><strong>:star: Exceptional candidates will have...</strong></h4> <ul> <li>Experience in 0→2 environments: setting up metrics, pipelines, and tests from scratch.</li> <li>Familiarity with “big data” tooling (e.g. Redshift, BigQuery, Hive).</li> <li>A passion for learning, teaching, and making knowledge joyful.</li> <li>An alarming Duolingo streak or suspiciously high XP.</li> </ul> <p> </p> <hr><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><strong>We post a multi-level salary range for all of our roles.</strong ... (truncated, view full listing at source)