Data Scientist Intern

Matchgroup
San Francisco, CA
HybridCareer-pivot friendly

In the 12 months to 30 Jun 2026, Matchgroup filed 1 H-1B position titled "Staff Data Scientist". Source: U.S. Department of Labor, LCA disclosure data. A record of filings already made, not a commitment to sponsor.

Who this role is best for

Geared toward candidates with intermediate to advanced SQL skills and a strong foundation in statistics, comfortable with A/B experiments and cross-functional collaboration, and based in San Francisco for a hybrid work arrangement.

Best fit for

  • Students or early-career professionals with strong statistical foundations and interest in user experience and safety improvements.
    — “strong foundation in statistics, probability, and experimental design”
  • Individuals who are proficient in Python and can work with AI-assisted tools for data analysis and coding.
    — “familiarity with / building to proficiency in Python”
  • Candidates who can translate data insights into actionable strategies and clearly communicate findings to leadership.
    — “Translate data insights into clear narratives and recommendations that inform product roadmaps”

Things to consider

  • The role requires in-office work three days per week in San Francisco, which may not suit remote-only preferences.
    — “hybrid role that requires in-office collaboration three days per week in San Francisco”
  • The internship is for a fixed period from June 1 to August 31, 2027, requiring a commitment to a summer schedule.
    — “The internship program will run from June 1 through August 31, 2027.”

How to stand out

  • Highlight experience with A/B testing and data-driven decision-making in your resume and interview responses.
    — “Design and execute A/B experiments to measure the impact of product features”
  • Showcase your ability to build and improve analytics tooling, especially with automation and documentation.
    — “Help build and improve the team’s experimentation and analytics tooling”
  • Emphasize your comfort with AI tools and your ability to critically evaluate their outputs.
    — “Comfort using AI tools (e.g., LLM-based coding and analysis assistants) as a regular part of your workflow”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design and execute A/B experiments
  • build and improve experimentation and analytics tooling
  • translate data insights into clear narratives
Typical background
data sciencestatisticscomputer science

Skills & requirements

Required

A/B TestingSQLPythonStatisticsProbabilityExperimental DesignData Querying And AnalysisData-driven Approaches

Preferred

Ai-assisted WorkflowsLlm-based Coding And Analysis Assistants

Stack & domain

SQLPythonA/B TestingData AnalysisMachine LearningCommunicationTeamworkProblem-solvingData ScienceAIML

About the role

Original posting from Matchgroup via Lever

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

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.

Compensation:

The compensation range listed above is representative of the hourly rate offered.

Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in San Francisco, California. This hourly rate will be subject to a geographic adjustment (according to a specific city, state, and country), if an authorization is granted to work outside of the location listed in this posting.

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

Source: Matchgroup careers (Lever)

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