Impactful Data Scientist Intern — ML & Analytics

Duolingo; Lower Providence Township (PA); On-site; USD 87,000 - 90,000; Full time

Benefits offered by this job

PTO

Company holidays

Lunches & breakfasts

Hackathon

Job summary

Duolingo is seeking a data-driven intern to derive insights from large datasets to influence product roadmaps and user experiences, applying advanced analytics and ML techniques.

The role requires pursuing a PhD in a quantitative field and willingness to relocate to Pittsburgh or NYC for the internship; strong SQL, Python, or R skills, and a GPA above 3.5 are expected. Collaborate with product and engineering teams on data-informed decisions.

Qualifications

• Pursuing a PhD in a quantitative field, preferably by Fall 2027 or Spring/Summer 2028.
• Strong understanding of consumer digital products and applying analytics to business outcomes.
• Experience analyzing large datasets and presenting results to both technical and non-technical audiences.
• Skilled in SQL, Python or R and statistical methods to analyze behavioral data.
• Willingness to relocate to Pittsburgh or NYC for the internship.

Responsibilities

• Derive insights from data to influence product roadmaps and drive business results.
• Apply advanced analytical methods, causal inference, and ML/AI to model user behavior and estimate impact of new features.
• Evaluate product experiments to create and improve user experiences.
• Communicate and present findings to senior management.
• Help preserve a culture of fact-based decision making as we scale.

Skills

SQL

Python

R

Statistical methods

Communication to senior audiences

Education

PhD in a quantitative field

Tools

BigQuery

Snowflake

dbt

Job description

Duolingo is seeking a data-driven intern to derive insights from large datasets to influence product roadmaps and user experiences, applying advanced analytics and ML techniques.

The role requires pursuing a PhD in a quantitative field and willingness to relocate to Pittsburgh or NYC for the internship; strong SQL, Python, or R skills, and a GPA above 3.5 are expected. Collaborate with product and engineering teams on data-informed decisions.