Director of Data Science & Analytics, User Growth

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Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.

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About the role...

This person will own all aspects of product data science forecasting and business intelligence for User Growth. They will lead a team of 6 to 10 data scientists spanning staff to junior levels with a mandate to coach develop and grow their careers while also expanding the team by hiring exceptional talent over time. The ideal candidate combines deep technical fluency in causal inference statistical/ML modeling and experimentation with genuine leadership ability: the kind of person who raises the bar for everyone around them.

This role reports to the Head of Data Science & Analytics and partners closely with executive leadership in Engineering Product Design and Finance.

You will...

• Set the analytical vision and roadmap for User Growth data science ensuring the teams work is tightly aligned with company-level priorities and pillar-level goals.
• Lead a team of 6 to 10 data scientists. Manage their performance coach their development and build a culture of intellectual rigor creative problem-solving and shipping impact. Grow the team over time by attracting and hiring outstanding talent.
• Own the design execution and interpretation of experiments and causal analyses that drive decisions on user acquisition activation retention and reengagement. Establish and defend the methodological standards (A/B testing guardrail metrics measurement frameworks) 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 the broader team to operate with data fluency.
• Translate complex analytical findings into clear narratives for senior leadership. 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 embed data science into every phase of product development.
• Stay current on advances in applied economics statistical methodology machine learning and AI and bring those advances into the teams practice where they create real value.

You have...

• 10 years of experience using data science economics or analytics to solve product or business problems with at least 4 years managing and developing data science teams.
• A graduate degree in Economics Statistics Computer Science Data Science or a related quantitative field. A PhD is a strong signal but not a strict requirement; what matters is demonstrated depth and originality in analytical thinking.
• Deep expertise in causal inference experimentation and machine learning models. You are the person others come to when the measurement problem is hard.
• Proven ability to build lead and grow a high-performing data science team. You have a track record of hiring well developing people across levels and creating an environment where talented scientists do the best work of their careers.
• Strong command of SQL Python or R and the data engineering ecosystem. You do not need to write production pipelines but you need to go deep when the work requires it.
• Exceptional communication skills both written and verbal with the ability to distill complex quantitative work into crisp actionable insights for technical and non-technical audiences alike.
• Experience operating at a high-growth data-intensive consumer technology company.

Exceptional candidates will have...

• Experience developing and implementing a long-range analytical vision that shaped product strategy and business outcomes.
• Demonstrated success in building forecasting systems or attribution models at scale.
• A background in economics or a related field that brings structural thinking and causal reasoning to product problems not just pattern recognition.
• Experience navigating the transition from growth-stage to scaled public company including the analytical demands that come with investor-grade reporting and forecasting.
• Experience with AI and machine learning as applied to user behavior modeling notification optimization or personalization.
• An impressive Duolingo streak.

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

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.

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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