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Match Group

Data Science Internship

Match Group is hiring a Data Science Internship in Ghent, Belgium. Level rates it ; you can apply on Match Group.

Level's read on this job

  • Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
  • The posting allows some remote work.
  • Tools and skills the posting cites include A B Testing, data science and experimentation.
  • Level lists 70 other open roles at Match Group.
  • The role was posted within the past week.

AI in this role

Design experiments and build analytics tooling including AI-assisted workflows as a data science intern on Tinder's Modes team.

A B Testing
data-scienceexperimentationanalyticspythonsqlmachine-learning

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 expansiveβ€”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 safeβ€”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.

Where you’ll work:

This is a hybrid role and requires in-office collaboration in Ghent three times per week.

The Team or Role:

As a Data Scientist Intern on Tinder’s Modes team in Ghent, you’ll help build new ways for people to meet on Tinder, from group and shared experiences to new modes of using the app. You’ll work with product, engineering, and data science partners to understand how members use these experiences, define how we measure success, and turn insights into product decisions.

In this role, you will:

    • 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.

You’ll Need:

    • 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.

As part of our team, you'll enjoy:

  • The hustle of a startup with the impact of a global business
  • Tremendous opportunity to solve some of the industry’s most exciting problems
  • Working with an extraordinary team of smart, creative, fun and highly motivated people

Commitment to Inclusion

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: https://www.lifeattinder.com/dei

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.

#Tinder

How we rate this

Data Science Internship at Match Group rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data ScienceExperimentationAnalyticsPythonSQLMachine learningA B Testing

Questions you could be asked

  1. Tell me about a project where data science was part of your work. What did you do?
  2. Tell me about a project where experimentation was part of your work. What did you do?
  3. Tell me about a project where analytics was part of your work. What did you do?
  4. Tell me about a project where python was part of your work. What did you do?
  5. Tell me about a project where sql was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Science, Experimentation, Analytics, Python, and SQL. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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