Senior Data Scientist, Growth Forecasting

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

Benefits offered by this job

Equity compensation

Job summary

Duolingo is seeking a Growth Data Scientist to join our Growth Data Science team in Pittsburgh. You will forecast user growth across our product portfolio and mentor junior data scientists to maintain trustworthy, timely forecasts.

You will collaborate with Product, Finance, and Strategy to reflect development, big bets, and evolving business plans in forecasting models, then translate outcomes into clear recommendations for senior leadership.

Qualifications

• Applied industry experience building forecasts in messy real world settings where details, confounds, and the validity of assumptions matter.
• A graduate degree in Data Science, Statistics, Economics, or a related quantitative field, or equivalent demonstrated expertise.
• Demonstrated ability to connect technical results to real-world recommendations, and translate product and business changes into technical requirements.
• Strong command of SQL, Python, AI analysis tools, and data/analytics engineering ecosystems.
• Exceptional communication skills, both written and verbal, with the ability to distill complex quantitative work into crisp, actionable insights for diverse audiences.

Responsibilities

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

Skills

Forecasting

Data Science

SQL

Python

AI analysis tools

Analytics engineering

Communication

Education

Graduate degree in Data Science, Statistics, Economics, or related quantitative field

Tools

SQL

Python

AI analysis tools

Analytics engineering ecosystems

Job description

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 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.

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

Read our blog to learn more.

About The Role

This person will be part of our Growth Data Science team, collaborating with peers and cross-functional partners in Product, Finance, and Strategy to continuously improve our forecasting capabilities. They will drive methodological advances and deliver trustworthy business-critical quarterly forecasts, built on a deep understanding of the dynamics of user growth across Duolingo’s product portfolio.

You will

• Join a small team of data scientists focused on User Growth forecasting. Collaborate with peers and mentor junior data scientists to ensure that our forecasts remain trustworthy and reliably delivered.
• Work with diverse stakeholders to develop forecasts that reflect a deep understanding of our product development, big bets, and evolving business strategy.
• 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.
• Develop and validate methodological advances to our forecasts, aligning methodological strengths with business priorities.
• Build systems and processes that ensure our forecasting process is robust and repeatable.

You have

• Applied industry experience building forecasts in messy real world settings where details, confounds, and the validity of assumptions matter.
• A graduate degree in Data Science, Statistics, Economics, or a related quantitative field, or equivalent demonstrated expertise in formal analytical techniques.
• Demonstrated ability to connect technical results to real-world recommendations, and to translate product and business changes into technical requirements.
• Strong command of SQL, Python, AI analysis tools, and data/analytics engineering ecosystems.
• Exceptional communication skills, both written and verbal, with the ability to distill complex quantitative work into crisp, actionable insights for diverse audiences.

Exceptional candidates will have

• Experience operating at a high-growth consumer technology company, including experience with user growth forecasting specifically.
• Experience at a public company, including the analytical demands that come with investor-grade reporting and forecasting.
• An impressive Duolingo streak.

The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role!

Salary Range

$182,800-$247,300 USD

Benefits

Take a peek at how we care for our employees' holistic well-being with our benefits 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 [e-mail].

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.

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