Data Scientist II, Growth

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.

$ 125000- $155000 a year

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

#Tinder

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: ;br>
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.

#Tinder