Data Scientist (Intern, PhD)

Duolingo; Pittsburgh (Allegheny County); On-site; USD 34,000 - 55,000; Full time

Benefits offered by this job

Medical, dental, and vision for you &/

Mental health benefits

Fully paid parental leave

401(k) with generous match

Paid time off and winter break

Relocation support to Pittsburgh or NY

Lunch provided daily

Annual international retreat

Gym and wellness facilities

Professional development stipend

Job summary

Duolingo in Pittsburgh/ NYC seeks a data science intern to derive insights from large datasets, build models of user behavior, and evaluate product experiments. You will present findings to senior management and help scale our data-informed culture.

Ideal candidates are PhD students in quantitative fields, proficient in SQL/Python/R, with experience in BigQuery/Snowflake/dbt and a strong appetite for learning and collaboration in a fast-paced team.

Qualifications

• Skilled in SQL, R or Python, and/or statistical methods to analyze behavioral data.
• Previous experience analyzing large datasets, communicating results to technical and non-technical audiences, and making actionable recommendations.

Responsibilities

• Derive insights from data to influence product roadmaps and drive business results.
• Apply advanced analytical methods, structural approaches, causal inference, and/or machine learning/AI to model user behavior and estimate impact of feature implementations.
• Evaluate product experiments to improve user experiences.
• Communicate and present findings to senior management.
• Support culture of fact-based decision making as the company scales.

Skills

SQL

Python

R

Statistical methods

Education

PhD candidate in a quantitative field

Tools

BigQuery

Snowflake

dbt

Job description

• Derive insights from data to influence product roadmaps and drive business results
• Apply advanced analytical methods, structural approaches, causal inference, and/or machine learning and AI 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
• Communicate and present findings and recommendations to senior management
• Help preserve our culture of fact-based decision making as we scale

Benefits

• Medical, dental, and vision for employees as well as eligible partners and dependents
• Mental health benefits such as therapy sessions and coaching to support you to be your best self
• Fertility benefits to support your family planning journey
• Fully paid parental and adoption leave
• Fully paid subscription to Care.com and paid backup days for dependents and your fur family
• 401(k) with generous match and immediate vesting
• 20 days of paid time off, with two additional weeks off for winter break
• First-time home buyer bonus (in Pittsburgh)
• Competitive salaries and equity
• Yearly stipend for professional development
• Transportation reimbursement for however you get to work
• Lunch prepared daily by our in-house chefs
• Annual international retreat for all full-time employees
• Monthly events celebrating our team and their amazing work
• On-site gym and massages
• Game room for taking brain breaks

• Skilled in SQL, R or Python, and/or statistical methods to analyze behavioral data
• Previous experience analyzing large datasets, communicating results to technical and non-technical senior-level audiences, and making actionable recommendations that improve the product or business
• Pursuing a PhD degree (in at least the third year of PhD program) in a quantitative field (e.g. Economics, Finance, Statistics, Math, Linguistics, Computer Science, Computational Social Science, ML/AI), ideally planning to graduate in Fall 2027 or Spring/Summer 2028
• 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 or NYC for the internship
• Strong understanding of consumer digital products and an interest in applying advanced analytics and economics to business outcomes
• 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
• Previous experience/internships in applied business settings
• A GPA of 3.5+A Duolingo streak
• Familiarity with AI tools such as Cursor, a knack for prompt engineering, and a desire to continue to innovate and learn in AI
• Self-starter, with a desire to both learn new techniques and guide others