Senior Data Science Manager, User Growth

About the role

Our mission at Duolingo is to develop the best education in the world and make it universally available. This role is part of the Growth pillar, which is one of the most consequential areas of the business.

Responsibilities

• Set the analytical vision and roadmap for User Growth data science, ensuring the team's work is tightly aligned with company-level priorities and pillar-level goals.
• Lead a team of 6 to 10 data scientists.
• Build a culture of professional growth, intellectual rigor, creative problem-solving, and shipping impact.
• Grow the team over time by attracting and hiring outstanding talent.
• Support and evolve the practice of embedding Data Scientists within product development teams, simultaneously maintaining strong stakeholder connection and function cohesion.
• Own the design, execution, and interpretation of experiments and analyses that drive decisions on user acquisition, activation, retention, and reengagement.
• Improve and advocate for the methodological standards that ensure we learn reliably from every test.
• Develop and maintain user growth forecasting systems.
• Partner with Finance and Product to deliver credible, timely forecasts of key growth metrics and ensure leadership has the quantitative foundation to set targets and allocate resources.
• Drive business intelligence strategy within Growth, including the metrics layer, self-serve dashboards, and the analytical infrastructure that enables others to operate with data fluency.
• Translate complex analytical findings into clear narratives for senior leadership and cross-functional partners.
• Influence strategic decisions through a combination of technical depth and effective communication.
• Collaborate across organizational boundaries with Product Management, Engineering, Design, Marketing, and Finance to elevate every phase of product development.

Requirements

• Experience using data science and analytics to solve product and business problems.
• Experience managing 5+ person data science teams.
• A graduate degree in Data Science, Statistics, Economics, or a related quantitative field, or equivalent demonstrated expertise in formal analytical techniques.
• Applied industry experience using causal inference, experimentation, and/or machine learning models.

Qualifications

• You routinely use analytical tools in messy real world settings where details, confounds, and the validity of assumptions matter.
• Promised ability to build, lead, and grow a high-performing data science team.
• You have strong command of SQL, Python or R, and data/analytics engineering ecosystems.

Skills

• Exceptional communication skills, both written and verbal, with the ability to distill complex quantitative work into crisp, actionable insights for diverse audiences.

Benefits

We offer a competitive salary range of $204,000—$306,000 USD, supplemented by equity compensation. Our benefits package includes comprehensive health coverage, retirement savings plans, and paid time off. We also provide ongoing training and development opportunities to support your career growth.

Job Alerts: Sign up for job alerts here.

Accommodations: 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.

Equal Employment Opportunity: 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.

Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.