Job Description

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
One Team, One Dream
We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission.
Own It
We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence.
Never Stop Learning
We cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.
Spark Solutions
We’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals.
Embrace Our Differences
We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.
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 (preferred), 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