Data Scientist

 

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”™

 

 

 

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.

 

We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence.

 

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.

 

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.

 

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 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.

 

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