Pay
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
San Francisco, California
Actively hiring, first seen by us 3 days agoSalary 43 USD per hour Commitment to InclusionRead the full posting
Where you’ll work This is a hybrid role that requires in-office collaboration three days per week in San Francisco. About the RoleRead the full posting
Employment type Internship
Employment type in the employer’s posting: InternshipFrom the employer’s posting
Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field
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.
Design and execute A/B experiments on product features and algorithm changes
Take a scoped analysis from question to recommendation with mentor guidance
Help build and improve experimentation and analytics tooling, including AI-assisted workflows
Explore large-scale datasets to find patterns, trends and opportunities
Present findings to Product and Leadership at end-of-internship demos
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.
Design and execute A/B experiments to measure the impact of product features and algorithmic changes.
Take a scoped analysis from question to recommendation, with guidance from your mentor.
Help build and improve the team’s experimentation and analytics tooling, including AI-assisted workflows
Explore and analyze large-scale datasets to identify patterns, trends, and opportunities.
Present key findings and project outcomes to Product and Leadership teams during end-of-internship demos.
- 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. The compensation range listed above is representative of the hourly rate offered.
As humans, there are few things more exciting than meeting someone new.
In the employer’s words · Read in context
Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
Day 3
Early. Similar jobs usually come down between day 7 and day 57.
At Match Group, jobs usually come down by about day 43.
From 10,789 similar postings that came down, and 15 of Match Group’s. Coming down is not always a hire.
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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).
- 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.
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Already applied? Track this application
New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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.
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.
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.
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.
43 USD per hour
Internship
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Salary 43 USD per hour Commitment to Inclusion
San Francisco, California
Where you’ll work This is a hybrid role that requires in-office collaboration three days per week in San Francisco. About the Role
No clear work-authorization passage found. Eligibility is unconfirmed.