Data Scientist, Intern
Duolingo is hiring a Data Scientist, Intern in New York and Pittsburgh, United States. It pays $54-$56/hr and Level rates it ; you can apply on Level.
Level's read on this job
- Level rates this data scientist role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Cursor, Python and R.
- Level files it as an internship.
- Level lists 62 other open roles at Duolingo.
- The role was posted in the last few days.
AI in this role
Apply advanced analytics and AI methods to model user behavior, evaluate product experiments, and derive insights as a Data Scientist Intern.
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
You will...
- Derive insights from data to influence product roadmaps and drive business results
- Apply advanced analytical and AI methods to model user behavior and estimate the impact of potential new feature implementations, and collaborate with product and engineering teams to develop solutions
- Evaluate product experiments to create and improve user experiences
- Develop dashboards, reports, and/or forecasts
- Ensure the quality of our tracking and data collection
- Help preserve our culture of fact-based decision making as we scale
You have...
- Pursuing an Undergraduate or Masters degree in a quantitative field (e.g., statistics, economics, computer science, math, linguistics, computational social science, ML/AI) with expected graduation in Fall 2027 or Spring/Summer 2028
- Strong understanding of consumer digital products and an interest in applying advanced analytics to business outcomes
- Previous experience analyzing large datasets and communicating results
- Skilled in SQL, Python or R, and/or statistical methods to analyze behavioral data
- Excellent presentation and communication skills
- Enthusiasm for learning and sharing analytical methods to help grow a collaborative Data Science team and data-forward company culture
- Able to relocate to Pittsburgh, PA or New York, NY
Exceptional candidates will have...
- Experience with "big data" and cloud computing technologies like BigQuery, Snowflake, and/or dbt
- Experience articulating business questions and using available data to find answers that translate into product recommendations
- Self-starter, with a desire both to learn new techniques and guide others
- Familiarity with AI tools such as Cursor, a knack for prompt engineering, and a desire to continue to innovate and learn in AI.
- A GPA of 3.5+
- A Duolingo streak
Why you’ll love working here…
- Language learning opportunities
- Catered in-house lunches, and breakfast and dinner options
- Company-wide Hackathon
- Frequent company-wide dinners, monthly celebrations, social clubs, and so much more!
Connect with your recruiter on the benefits for interns at Duolingo!
Hourly Range for this internship is:$54—$56 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
Data Scientist, Intern at Duolingo rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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. Open the description and count.
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
- Typical data scientist job
- $170k
Use the typical data scientist figure as a reference when pay comes up. See data scientist jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where statistics was part of your work. What did you do?
- Tell me about a project where product analytics was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, Data Analysis, Machine learning, Statistics, and Product Analytics. 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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