Match Group
From Match Group's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Where you’ll work This is a hybrid role that requires in-office collaboration three days per week in San Francisco.
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, 2027. Where you’ll work This is a hybrid role that requires in-office collaboration three days per week in San Francisco. 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.
Design and execute A/B experiments to measure the impact of product features and algorithmic changes.
Help build and improve the team’s experimentation and analytics tooling, including AI-assisted workflows, with a focus on standardization, automation, and clear documentation.
Take a scoped analysis from question to recommendation, with guidance from your mentor.
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.
Intermediate to advanced SQL skills for data querying and analysis.
Familiarity with / building to proficiency in Python.
Strong foundation in statistics, probability, and experimental design (A/B testing, hypothesis testing).
Clear written communication and a curious, fast-learning mindset.
Comfort using AI tools (e.g., LLM-based coding and analysis assistants) as a regular part of your workflow, and the judgment to check their output.
Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field.
Scores your resume against this job the way resume scanners do: the job's hard and soft skills, searchability, recruiter tips and formatting.
Create a free account to see your score. Your resume stays in this browser until then, and we never store it.
Already a member? Sign in