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MMatch Group
Ghent, Belgium8 days ago
Grade
Intern
Work format
Hybrid
English level
B2, upper-intermediate
An email or a Telegram message to the recruiter
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
Our team in Ghent focuses on New Experiences: we design, test, and build innovative features that enable new forms of discovery on top of the existing Tinder experience. As a Data Scientist Intern, you’ll help us understand how members use these experiences, define how we measure success, and contribute to an experiment that brings this vision to life.
At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds.
Analyze how members discover, adopt, and engage with new social and group experiences. Help define success metrics and funnels for new, still-evolving products. Design and analyze experiments, including cases where members interact with each other and standard A/B assumptions don’t hold. 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. Size opportunities and answer product questions to inform roadmap decisions.
Passion for using data and experimentation to solve complex problems. Intermediate to advanced SQL skills for data querying and analysis. Working proficiency in Python. Strong foundation in statistics, probability, and experimentation. Clear written communication, including explaining findings to non-technical partners. Strong product sense and curiosity about how people connect socially. 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.
experience with network or social data, or with experiments where members interact.
This is a hybrid role and requires in-office collaboration in Ghent three times per week.
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.
Our Values
Where you’ll work:
This is a hybrid role and requires in-office collaboration in Ghent three times per week.
The Team or Role:
Our team in Ghent focuses on New Experiences: we design, test, and build innovative features that enable new forms of discovery on top of the existing Tinder experience. As a Data Scientist Intern, you’ll help us understand how members use these experiences, define how we measure success, and contribute to an experiment that brings this vision to life. In this role, you will: Analyze how members discover, adopt, and engage with new social and group experiences. Help define success metrics and funnels for new, still-evolving products. Design and analyze experiments, including cases where members interact with each other and standard A/B assumptions don’t hold. 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. Size opportunities and answer product questions to inform roadmap decisions. You’ll Need: Passion for using data and experimentation to solve complex problems. Intermediate to advanced SQL skills for data querying and analysis. Working proficiency in Python. Strong foundation in statistics, probability, and experimentation. Clear written communication, including explaining findings to non-technical partners. Strong product sense and curiosity about how people connect socially. 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. Nice to have: experience with network or social data, or with experiments where members interact.
At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here.
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
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