Data Scientist Intern

Posted 101 days ago

Job Description

This job posting has expired and no longer accepting applications.

Our Mission

As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing.

We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.

Program Duration

The internship program will run from June 1 through August 31, 2026.

Where you’ll work

This is a hybrid role that requires in-office collaboration three days per week in Los Angeles.

About the Role

As a Data Scientist Intern at Tinder, you’ll help us uncover insights from one of the world’s largest datasets to enhance user experience, strengthen safety, and drive innovation across our platform. You’ll work alongside talented engineers, data scientists, and product teams to solve real-world problems using data-driven approaches that shape the future of how people connect.

The compensation range listed above is representative of the hourly rate offered.

Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Los Angeles, and Palo Alto, California. This hourly rate will be subject to a geographic adjustment (according to a specific city, state, and country), if an authorization is granted to work outside of the location listed in this posting.

What you'll do:

Explore and analyze large-scale datasets to identify patterns, trends, and opportunities.

Develop and evaluate machine learning models and/or LLMs that improve user experience and engagement.

Design and execute A/B experiments to measure the impact of product features and algorithmic changes.

Collaborate with cross-functional partners in Data Science, Product, and Engineering to translate insights into actionable strategies.

Present key findings and project outcomes to Product and Leadership teams during end-of-internship demos.

Translate data insights into clear narratives and recommendations that inform product roadmaps and user experience improvements.

Participate in improving the team’s tools and techniques for experiment reads, focusing on standardization, automation, and clear documentation.

What we're looking for:

Passion for using data and experimentation to solve complex problems.

Intermediate to advanced SQL skills for data querying and analysis.

Familiarity with / building to proficiency in Python.Strong foundation in statistics, probability, and machine learning fundamentals.

Understanding of data structures and algorithms.

Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field.

Commitment to Inclusion

At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei

If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.

#Tinder

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