Data Scientist II
Listed on 2026-01-04
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IT/Tech
Data Analyst, Data Scientist
Join the Data Scientist II, Growth role at Tinder.
This range is provided by Tinder. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$/yr - $/yr
Our MissionLaunched 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.
Own ItWe 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 LearningWe 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 SolutionsWe’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 DifferencesWe 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 TeamThe Growth Data Science team is looking for curious individuals excited to drive data‑informed decision‑making 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 green space 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
- 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,…
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