Data Scientist Intern
Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Nov 6, 2026. Match Group scores B on the Alion truth index.
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.
What you'll do:
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.
Explore and analyze large-scale datasets to identify patterns, trends, and opportunities.
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 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.