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.

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 across multiple projects and communicate timelines

As a full-time employee, you’ll enjoy:

• Unlimited PTO (with no waiting period), 10 annual Wellness Days
• Time off to volunteer and charitable donations matching
• Comprehensive health, vision, and dental coverage
• 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP)
• 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation
• Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual stipend for your professional development
• Investment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy
• Free premium subscriptions for several Match Group apps – including Tinder Platinum!

$145,000 - $155,000 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:

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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.