Data Scientist

Our Mission

Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45\+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”\™

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.

The Team

The

Analytics

team is looking for curious individuals excited to drive

data-informed decision-making

at Tinder. We are a strategic partner to Product, Design, Engineering, and Machine Learning, using our comprehensive datasets to develop experiments, understand and evolve metrics, build automated reporting, and generate exploratory insights that guide business and product decisions. These insights are key to both the

performance of our business

and the

experience of our members

.

We are hiring Data Scientists into a

shared pipeline

with opportunities to join one of several product pods, including

Core

,

Recommendations

, and

Growth

.

• Core

focuses on the end-to-end member experience across registration, swiping, matching, and messaging, ensuring a healthy, engaging marketplace.

• Recommendations

focuses on ranking, personalization, and signals to surface the right profiles and experiences at the right time.

• Growth

focuses on validating new “greenspace” hypotheses, acquisition, activation, and lifecycle experiences (including messaging and channels) that help members discover more value on Tinder.

During the interview process, we’ll work closely with you to determine which pod is the best match based on your background, interests, and our current needs.

Where you’ll work:

This position can be located in Los Angeles, San Francisco, Palo Alto, CA, or Dallas, TX

In this role, you will:

• Drive rigorous testing

(e.g., A/B and quasi-experiments) to validate hypotheses and guide product and business decisions across Core, Recommendations, and Growth.

• Find the “story” in the data

and share insights with product, engineering, design, and machine learning partners, as well as at a company level.

• Be an authority with a point of view

for the organization, using data to continually challenge and reshape our understanding of member behavior and business performance.

• Derive and communicate data‑driven recommendations

on both the prioritization of potential initiatives and the performance of current features and experiments.

• Define and operationalize metrics

at the company-, team-, and product-level via rollout tables, dashboards, and automated reporting.

You’ll need:

• Bachelor’s degree

in a quantitative field (or equivalent experience);

Master’s degree or PhD

with a social science background preferred.

• 2-4 years

of professional experience in

Data Science and/or Analytics

.

• Familiarity with

two‑sided consumer ecosystems

, ideally within

consumer technology or marketplaces

.

• Experience with

SQL

and

data visualization tools

(e.g., Tableau or Mode).

• Hands-on experience

designing and implementing experiments

(e.g., randomized tests, A/B tests) to drive key product decisions.

• Familiarity with

Python or R

, using descriptive and inferential statistics and

machine learning models

.

• Demonstrated ability to

collaborate effectively

with design, product, engineering, and/or machine learning teams to move initiatives from concept to launch.

• Ability to develop a

nuanced business understanding

, frame

testable hypotheses

, and extract

meaningful findings

from data.

• Ability to

present data, insights, and technical concepts

to both technical and non-technical audiences.

Differentiators:

• Deep curiosity

about how things work\—from both a business and technical perspective\—that leads you to identify and explore new product opportunities, improve data infrastructure, and dive deeply into understanding member behavior.

• Proactive collaborator

who engages cross-functional partners (Product, Engineering, Machine Learning, Design, Marketing) to influence decision-making, and who is comfortable voicing concerns and alternative perspectives.

• Ability to

prioritize across multiple projects

, make thoughtful tradeoffs, and

communicate timelines and risks

clearly to stakeholders.

As a full-time employee, you’ll enjoy:

• Unlimited PTO (with no waiting period), 10 annual Wellness Days

• Time off to volunteer and charitable donations matching

• Comprehensive health, vision, and dental coverage

• 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP)

• 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation

• Investment in your development: mentorship through our MentorMatch program, access to 6,000\+ online courses through Udemy, and an annual stipend for your professional development

• Investment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy

• Free premium subscriptions for several Match Group apps - including Tinder Platinum!

#Tinder

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

.

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 will be subject to a geographic adjustment (according to a specific city and state),

if an authorization is granted to work outside of the location listed in this posting.