Senior Data Scientist (Product Analytics)

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 or Role : The Analytics team powers data-informed decision-making at Tinder, and we are hiring a Senior Data Scientist to join our growing team.

We are looking for creative, tenacious problem solvers who are passionate about our product and excited to work with our rich, sophisticated data.

As a Senior Data Scientist on Analytics, you will partner with multiple teams - Product, Marketing, Engineering, and Finance - to improve our extraordinary platform.

You will maximize a comprehensive dataset of user behaviors to develop experiments, forecasting models, automated reports, and various exploratory insights to guide our business decisions.

You will also be a leader on the Analytics team, mentoring more junior data scientists, driving Analytics-led projects, and pushing the team to improve their knowledge and toolset.

An effective Senior Data Scientist 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.

You must also distinguish yourself as a leader, both on the Analytics team and across the company. In this role, your insights will influence the performance of our business, the experience of our users, and the direction of analytics at Tinder.

Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.

What You'll Do :

• Be a leader with a point of view for the organization and the team, using data to constantly challenge and reshape our understanding of customer behavior and business performance.
• Derive and communicate data-driven recommendations regarding both the prioritization of potential product / marketing initiatives and the performance of current initiatives.
• Define and operationalize the detailed tracking of company-wide, team-specific, and product-specific performance metrics via rollup tables, dashboards, and automated reporting.
• Design and analyze experiments to rigorously test specific hypotheses.
• Find the story in the data and share insights across the organization.
• Be a mentor / advisor for other Data Scientists on the Analytics team.

What you’ll need :

• Bachelor’s degree in a quantitative field (e.g., Economics, Computer Science, Statistics), Master’s degree, or PhD in social science preferred.
• 4+ years of experience in data science or analytics.
• Ability to develop a nuanced business understanding, testable hypotheses, and meaningful findings from data.
• Eagerness to identify and explore new product / marketing opportunities, potential improvements to our data infrastructure, and unanswered questions about customer behavior.
• Outstanding written and verbal communication skills and a willingness to collaborate with business partners.
• Experienced with SQL and data visualization tools (e.g., Tableau or Mode).
• Proficient in Python or R.
• Substantial experience with and understanding of A / B testing and advanced statistical techniques.

Salary : $146,000 - $175,000 a year. Factors such as the scope and responsibilities of the position, the candidate's work experience, education / training, job-related skills, internal peer equity, as well as market and business considerations, may influence the base pay offered.

This salary range reflects a position based in San Francisco and Palo Alto. 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.

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.

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