Data Scientist , Integrity

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”™

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.

Tinder brings people together. With tens of millions of users and a presence in every country on earth, our reach is expansive and rapidly growing.

As a DS I on the Integrity team, you will leverage data and automation to help Tinder solve impactful product and engineering problems such as understanding the impact of our user facing features, and creating metrics to better quantify the user experience.

Our team provides Tinder with quantification and understanding of intent, behavior, value, and the potentially complicated ways in which they all interrelate. You will develop frameworks and models for how data should be leveraged in decision making and be a key stakeholder in delivering quantitative tools.

An effective DS I at Tinder must have a passion and aptitude for turning sophisticated problems into concrete hypotheses that can be answered through meticulous data analysis and A/B testing. You must be able to disseminate findings and recommendations to a variety of partners across the organization via presentations, reports, and dashboards. In this role, your insights will influence the performance of our business, the experience of our members, and the direction of analytics at Tinder.

This is a hybrid role and requires in-office collaboration two times per week, in LA, SF, or Palo Alto.

• Partner closely with Product, Engineering, and Policy to support Integrity initiatives through data analysis, experimentation, and measurement.
• Analyze user behavior related to Integrity and safety initiatives to inform product decisions. Proactively monitor product performance and provide actionable insights and recommendations to improve user experience.
• Design and analyze experiments or quasi-experiments to test hypotheses and evaluate the impact of Integrity-related features.
• Develop and maintain dashboards and monitoring tools to track key safety and risk metrics.
• Produce clear, data-driven insights and recommendations, and communicate findings to cross-functional stakeholders.
• Support the evolution of metrics and measurement frameworks for Integrity products under guidance from senior team members.
• Contribute to improving data quality, pipelines, and analytical infrastructure related to trust and safety use cases.

• Bachelor’s degree or equivalent in a quantitative field, Master’s degree or PhD with a social science background preferred.
• 1-2 years of professional working experience in Data Science and/or analytics preferred.
• Experience with SQL…