Senior Data Scientist, Growth Forecasting
Duolingo is hiring a Senior Data Scientist, Growth Forecasting for a remote role open to applicants in United States. It pays $183k-$247k a year and Level rates it ; you can apply on Duolingo.
Level's read on this job
- Uses AI ●●○○ is how Level rates this data scientist role: an ordinary role that requires AI tools.
- The listed pay starts 10% above the typical data scientist posting on Level.
- The posting lists this role as remote.
- Tools and skills the posting cites include Python, SQL and forecasting.
- Level lists 60 other open roles at Duolingo.
AI in this role
Lead user growth forecasting using data science, statistical methods, and AI analysis tools.
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 USDBenefits: Take a peek at how we care for our employees' holistic well-being with our benefits here.
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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.
By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.
How we rate this
Senior Data Scientist, Growth Forecasting at Duolingo rates 40 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data scientist jobs at this level
Pay
- This job starts at
- $183k
- Typical data scientist job
- $166k
This posting starts 10% above the typical data scientist job. See data scientist jobs
Questions you could be asked
- Tell me about a project where forecasting was part of your work. What did you do?
- Tell me about a project where growth was part of your work. What did you do?
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where analytics was part of your work. What did you do?
- Tell me about a project where statistical modeling was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Forecasting, Growth, Data Science, Analytics, and Statistical Modeling. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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