Data Scientist Intern

Match Group • San Francisco, CA

1d • Hybrid

About The Position

As a Data Scientist Intern at Tinder, you’ll help uncover insights from a large-scale dataset to enhance user experience, strengthen safety, and drive innovation across the platform. You’ll work with engineers, data scientists, and product teams to address real-world problems through data-driven approaches that shape how people connect. The internship runs from June 1 through August 31, 2027, and is hybrid, requiring in-office collaboration three days per week in San Francisco.

Requirements

• Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field.
• Intermediate to advanced SQL skills for data querying and analysis.
• Familiarity with Python or ability to build proficiency in it.
• A strong foundation in statistics, probability, and experimental design, including A/B testing and hypothesis testing.
• Clear written communication skills and a curious, fast-learning mindset.
• Comfort using AI tools, such as LLM-based coding and analysis assistants, as a regular part of the workflow, and judgment to check their output.
• Passion for using data and experimentation to solve complex problems.

Responsibilities

• Design and execute A/B experiments to measure the impact of product features and algorithmic changes.
• Help build and improve 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 a mentor.
• Collaborate with Data Science, Product, and Engineering partners 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 This Job Offers

• Career Level: Intern