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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.
Our Values
- Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down.
- Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today.
- Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate.
- Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same.
- Safety First: We act with integrity, transparency, and consistency so people feel safe—whether they're swiping, matching, or working alongside us.
- Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters.
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.
Skills Required
- 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 or ability to build proficiency in Python
- Strong foundation in statistics, probability, and experimental design, including A/B testing and hypothesis testing
- Clear written communication skills
- Curious and fast-learning mindset
- Comfort using AI tools, including LLM-based coding and analysis assistants, and checking their output
Match Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Match Group and has not been reviewed or approved by Match Group.
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Retirement Support — Employer matching on retirement savings and access to an employee stock purchase program are highlighted as standout elements. Feedback suggests this creates strong long-term financial support as part of total rewards.
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Parental & Family Support — Fully paid parental leave, fertility and family-forming support, and childcare resources are emphasized across materials. Feedback suggests these benefits meaningfully support different family needs.
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Leave & Time Off Breadth — Generous PTO, numerous paid holidays, wellness and volunteer time, and other special leave options are consistently described. Feedback suggests the breadth of time-off options helps sustain work-life balance.
Match Group Insights
What We Do
Match Group is home to some of the world’s most popular dating and social discovery apps, including Tinder, Hinge, Match, and more. Match Group’s mission is to spark meaningful connections for every single person worldwide. Our diverse portfolio of apps enables connections across a diverse range of ages, genders, backgrounds, and dating goals. Our services are available in over 40 languages to users all over the world.
Why Work With Us
Match Group is united by a mission to help people find meaningful connections and fight loneliness. We’re not just building products. We’re creating friendships, marriages, and families around the world. Our culture is fueled by purpose, creativity, and a passion for what we can build together.
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