Data Scientist Intern - Product Analytics & AI Impact

Duolingo; Pittsburgh (Allegheny County); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

Mental health support

Fertility benefits

Fully paid parental and adoption leave

401(k) with generous match

Lunch provided daily

Annual international retreat

Job summary

Duolingo is seeking a Data Scientist to derive insights from data to shape product roadmaps and drive business results. You will apply advanced analytics to model user behavior, estimate the impact of new features, and collaborate with product and engineering teams to deliver data-driven solutions.

You will evaluate product experiments to improve user experiences, develop dashboards and forecasts, and ensure robust data tracking while maintaining a culture of data-informed decisions as the

Qualifications

• Excellent presentation and communication skills.
• Strong analytical foundation with ability to model user behavior.
• Willingness to relocate to Pittsburgh, PA or New York, NY.
• Proficiency in SQL, Python or R, and statistical methods.

Responsibilities

• 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

Skills

SQL

Python

R

Statistical methods

Data visualization

AI curiosity

Education

Undergraduate/ Master’s in a quantitative field

Tools

BigQuery

Snowflake

dbt

Job description

Duolingo is seeking a Data Scientist to derive insights from data to shape product roadmaps and drive business results. You will apply advanced analytics to model user behavior, estimate the impact of new features, and collaborate with product and engineering teams to deliver data-driven solutions.

You will evaluate product experiments to improve user experiences, develop dashboards and forecasts, and ensure robust data tracking while maintaining a culture of data-informed decisions as the