Growth Forecasting Data Scientist - Lead Forecasts & Strategy

Duolingo; Pittsburgh (Allegheny County); On-site; USD 183,000 - 247,000; Full time

Job summary

Duolingo is seeking a Growth Data Scientist to join our User Growth forecasting team and collaborate with Product, Finance, and Strategy to enhance quarterly forecasts. You will drive methodological advances and deliver trustworthy, data-driven insights that influence senior leadership decisions.

The role requires translating complex analytics into actionable guidance, mentoring junior data scientists, and building scalable forecasting processes across the product portfolio.

Qualifications

• Applied industry experience forecasting growth in real-world settings where assumptions matter.
• Graduate degree in Data Science, Statistics, Economics, or related quantitative field, or equivalent demonstrated expertise.
• Ability to translate technical results into real-world recommendations for product and business.
• Strong command of SQL, Python, AI analysis tools, and analytics ecosystems.
• Exceptional communication skills to distill quantitative work for diverse audiences.

Responsibilities

• Join a small team of data scientists focused on User Growth forecasting and mentor junior data scientists.
• Collaborate with cross-functional partners to reflect product development and business strategy in forecasts.
• Translate complex analytical findings into clear narratives for senior leadership and stakeholders.
• Develop and validate methodological advances aligned with business priorities.
• Build robust, repeatable forecasting processes and systems.

Skills

SQL

Python

AI analysis tools

Analytics engineering

Education

Graduate degree in Data Science/Statistics/Economics

Job description

Duolingo is seeking a Growth Data Scientist to join our User Growth forecasting team and collaborate with Product, Finance, and Strategy to enhance quarterly forecasts. You will drive methodological advances and deliver trustworthy, data-driven insights that influence senior leadership decisions.

The role requires translating complex analytics into actionable guidance, mentoring junior data scientists, and building scalable forecasting processes across the product portfolio.