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Match Group

Data Scientist I (Revenue)

San Francisco, CA Palo Alto, CA
Spark SQL Python R
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Description
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 Analytics team powers data-informed decision-making at Tinder. We are seeking a passionate and motivated Data Scientist to join our growing Analytics team. 

In this role you will partner with Revenue, Product, Marketing, Engineering, and Finance to accelerate improvements to our platform. The ideal candidate is both passionate about the intersection of online dating and economics and comfortable digging deep into financial data to uncover trends and patterns. This role will operate under the Revenue branch of Tinder and will focus on data related to finance, pricing, and paid-feature conversion.

What You'll Do:

  • Digest large, complex transaction datasets into distilled analytics that help the business identify new opportunities. 
  • Quickly investigate KPI movements in an evolving global dataset, disentangling correlation and causation to communicate resolutions efficiently. 
  • Collaborate closely with strategy and finance teams to study worldwide online dating trends and provide detailed market research to guide pricing decisions.
  • Drive ownership of your own projects while balancing speed of execution and business value.
  • Be an authority on where and how to organize our data and readily share insights with data scientists, product managers, and finance leaders, as well as at a company level.
  • Define and operationalize the detailed tracking of company-wide, team-specific, and product-specific performance metrics via rollout tables, dashboards, and automated reporting.

About You:

  • Bachelor’s degree in a quantitative field, Master’s degree, or PhD with an economics, statistics, or similar quantitative field preferred. 1-2 years of professional working experience in Data Science and/or analytics preferred.
  • New graduates are encouraged to apply.
  • Skilled in SQL and a deep understanding of statistical modeling, causal inference, and experimentation.
  • Experience with Python/R and visualization tools like Tableau or Mode is a plus.
  • Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data.
  • Eagerness to identify and explore new product opportunities, member insights, and potential improvements to our data infrastructure.
  • Curiosity of how things work from a business, member, and technical perspective.A desire to collaborate and work with other data scientists and cross-functional teams.
  • Experience working on data related to finance and/or subscription business models is a plus

As part of the team, you'll enjoy:

  • Unlimited PTO (with no waiting period), 10 annual Wellness DaysTime off to volunteer and charitable donations matched up to $15,000 annually 
  • 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 $3,000 stipend for your professional development
  • Investment in your wellness: access to mental health support via Modern Health, BetterHelp, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy
  • Free subscription to Tinder Gold
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

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
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