Senior Data Scientist

Duolingo • Full-time • Pittsburgh, Pennsylvania, United States • 4d ago

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.

We’re looking for a Senior Data Scientist to join our Data Science & Analytics team. You will be responsible for understanding how changes in our most granular metrics impact our top-line business performance, then concisely communicating those insights to senior company leaders. 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.

Responsibilities

Collaborate with cross-functional teams to gather, integrate, and analyze data from various sources.
Lead analytics solutions end-to-end, including project management, data gathering and manipulation, modeling, problem-solving, and communication of insights and recommendations.
Build engaging and informative dashboards using visualization tools (e.g., Sigma, Tableau, Plotly), and use these tools to analyze trends and make recommendations.
Run periodic business reviews to keep senior leadership updated on how the company is operating from a bottoms-up view, and perform deep-dive analyses to understand the underlying causes.
Use business review insights to pinpoint growth opportunities, then drive that growth via product experiments and changes.
Mentor and guide junior data scientists in developing their analytical skills and communication.

Requirements

Bachelor’s degree in a relevant field (e.g., Data Science, Economics, Business Analytics, Information Systems).
5+ years of experience in data science, business intelligence, or related roles.
Experience in programming (e.g., Python, R) to extract, transform, clean, and analyze large amounts of data.
Advanced SQL skills to build datasets that enable ad-hoc analyses and efficient visualization.
Expertise in data visualization tools such as Sigma, Tableau, or Looker for full-stack data analysis, insight synthesis, and presentation.
Outstanding problem-solving abilities and the capacity to distill complex data into concise explanations and actionable insights.
Excellent verbal and written communication skills with the ability to collaborate effectively with both technical and non-technical partners.
Able to relocate to and work in our New York or Pittsburgh office.

Bonus Points

Master's degree in data science, economics, statistics, or an equivalent quantitative field
Experience managing, analyzing and communicating results to senior leadership
Experience training machine learning models and deploying them in production
Experience at a high-growth company that has undertaken an IPO
An impressive Duolingo XP or streak!

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.

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

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.

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