Job Specifications
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 Growth Data Science team is looking for curious individuals excited to drive data-informed
decision-making at Tinder. We are a strategic partner to the Product team, and will be using our
comprehensive datasets to develop experiments, understand metrics, develop automated
reports, and generate exploratory insights to guide our business solutions. These insights are
key in both the performance of our business and the experience of our members.
This role has the opportunity to work on either the User Growth or Growth Platform teams within
the Data Science Team. The User Growth team focuses on validating greenspace hypotheses
and optimizing the core experience through growth levers and personalization, while the Growth
Platform team focuses on optimizing and scaling messaging strategy through strategic channels and personalization. We will work closely with you to define what team would be the best match.
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 to validate hypotheses and guide business decisions
Find the “story” in the data and readily share insights with product, engineering, and design
as well as at a company level
Be an authority with a point of view for the organization, using data to constantly challenge
and reshape our current 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 rollout tables, dashboards, and automated reporting
You’ll need:
Bachelor’s degree in a quantitative field, Master’s degree, or PhD with a social science background preferred
2-4 years of professional working experience in Data Science and/or analytics
Familiarity with two sided consumer ecosystem, specifically in the context of consumer technology
Experience with SQL, data visualization tools (e.g., Tableau or Mode)
Hands on experience in designing and implementing experiments (e.g. randomized testing, A/B testing) to drive key product decisions is required
Familiarity with Python/R, using descriptive and inferential statistics and machine learning models
Demonstrated ability to collaborate effectively with design, product, and engineering
teams to advance key business initiatives from conceptualization to final product delivery
Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data
Ability to present data, actionable insights, technical concepts and approaches to technical and non-technical audiences
Differentiators:
Curiosity of how things work, from both a business and technical perspective, which could result in identifying and exploring new product opportunities, potential improvements to our data infrastructure, and diving deeply into understanding member behavior
Proactive collaborator skilled in engaging with cross-functional teams (Product, Engineering, Machine Learning) to influence decision-making, confidently voicing concerns and alternative perspectives
Ability to prioritize time a
About the Company
You've heard of us.
Launched in 2012, Tinder(r) 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 100 billion matches, serving over 47 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category.
Awards? Check. In 2024, Tinder won four Effie Awards for its f...
Know more