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San Francisco, CA

Internship

Hybrid

Intern

Tinder is seeking a Data Scientist Intern to analyze large-scale datasets and uncover insights that improve user experience, strengthen safety, and support innovation. The intern will design experiments, develop analytics tooling, and translate findings into recommendations in collaboration with Data Science, Product, and Engineering teams.

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Responsibilities

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

Qualification

Required

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