Senior Data Scientist, Core Product

Remote, US /
Tinder – Finance & Analytics /
Full-time
Our Mission

As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing.
 
We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.

Our Values

• Member Safety: Our top priority is to build an authentic, equitable, and respectful community
• Diversity: We strive to build a workplace that reflects the rich diversity of our members
• Authenticity + Collaboration: We encourage authenticity to nurture a trustworthy, collaborative environment
• Big Ideas: We champion and rally behind big ideas, empowering people to to think and act differently and to be unafraid of having a strong point of view
• Innovation: We never stand still; we’re inspired to build for what’s next, and we must constantly innovate, experiment, and learn

The Team

Our Finance & Analytics team transforms our strategic objectives into an actionable plan with business intelligence, forecasting expertise and rigorous reporting. We tackle impactful product and growth problems and provide high-quality financial analysis to enable the company and its stakeholders to achieve their business objectives. Our insights influence business performance, the experience of our users, and the direction of analytics at Tinder.

As a Senior Data Scientist on the Analytics team, you will partner with multiple teams - including 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.

Where you’ll work

This role can be based remotely in the US or located in Los Angeles, San Francisco, or Palo Alto, CA.

In this role, you will:

    • 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 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

You’ll need:

    • Bachelor’s degree in a quantitative field (e.g. Economics, Computer Science, Statistics), Master’s degree or PhD preferred
    • 4+ years of experience in data science or analytics, experience in a high-growth consumer tech company preferred
    • Substantial experience with and understanding of A/B testing and advanced statistical techniques
    • 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
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