Data Scientist, Intern

Duolingo
New York +1 more
On-siteCareer-pivot friendly

Who this role is best for

Best suited to students pursuing quantitative degrees with a passion for education technology, working in a collaborative, data-driven environment.

Best fit for

  • Students with strong analytical skills and a focus on education tech who are eager to contribute to product decisions
    — “Derive insights from data to influence product roadmaps and drive business results”
  • Candidates with experience in analyzing large datasets and translating findings into actionable business recommendations
    — “Experience articulating business questions and using available data to find answers that translate into product recommendations”
  • Individuals who thrive in collaborative, fast-growing environments and enjoy learning from others
    — “Enthusiasm for learning and sharing analytical methods to help grow a collaborative Data Science team”

Things to consider

  • Relocation to either Pittsburgh or New York is required, which may involve significant travel or moving costs
    — “Able to relocate to Pittsburgh, PA or New York, NY”
  • The internship likely involves a high level of responsibility, given the emphasis on influencing product decisions and company culture
    — “Help preserve our culture of fact-based decision making as we scale”

How to stand out

  • Highlight experience with cloud-based data tools like BigQuery or Snowflake in your resume and interview responses
    — “Experience with 'big data' and cloud computing technologies like BigQuery, Snowflake, and/or dbt”
  • Demonstrate your communication skills by including examples of presenting data insights to non-technical stakeholders
    — “Excellent presentation and communication skills”
  • Emphasize your interest in AI and prompt engineering, as it is a unique differentiator for this role
    — “Familiarity with AI tools such as Cursor, a knack for prompt engineering, and a desire to continue to innovate and learn in AI”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Derive insights from data to influence product roadmaps
  • Evaluate product experiments
  • Develop dashboards and reports
Typical background
Pursuing an Undergraduate or Masters degree in a quantitative field

Skills & requirements

Required

SQLPythonRStatistical MethodsData AnalysisCommunication Skills

Preferred

BigQuerySnowflakedbtAI ToolsPrompt Engineering

Stack & domain

SQLPythonRStatistical MethodsAI MethodsBigQuerySnowflakedbtCursorPrompt EngineeringCommunicationLeadershipTeamworkProblem-solvingCollaborationEducationConsumer Digital ProductsAIMLData Science

About the role

Original posting from Duolingo

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.

Source: Duolingo careers

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