Data Scientist I, Integrity

Posted 5 Days Ago
3 Locations
Hybrid
120K-135K Annually
Junior
Mobile • Social Media
Match Group is the global dating app leader creating meaningful connections for people around the world.
The Role
As a Data Scientist I on the Integrity team, you will analyze user behavior and develop metrics and models to support product decisions, improving user experience through data insights and experimentation.
Summary Generated by Built In
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 Role:

Tinder brings people together. With tens of millions of users and a presence in every country on earth, our reach is expansive and rapidly growing.

As a DS I on the Integrity team, you will leverage data and automation to help Tinder solve impactful product and engineering problems such as understanding the impact of our user facing features, and creating metrics to better quantify the user experience.

Our team provides Tinder with quantification and understanding of intent, behavior, value, and the potentially complicated ways in which they all interrelate. You will develop frameworks and models for how data should be leveraged in decision making and be a key stakeholder in delivering quantitative tools. 

An effective DS I at Tinder must have a passion and aptitude for turning sophisticated problems into concrete hypotheses that can be answered through meticulous data analysis and A/B testing. You must be able to disseminate findings and recommendations to a variety of partners across the organization via presentations, reports, and dashboards. In this role, your insights will influence the performance of our business, the experience of our members, and the direction of analytics at Tinder.

Where you’ll work:
This is a hybrid role and requires in-office collaboration two times per week, in LA, SF, or Palo Alto.


In this role, you will:

  • Partner closely with Product, Engineering, and Policy to support Integrity initiatives through data analysis, experimentation, and measurement. 
  • Analyze user behavior related to Integrity and safety initiatives to inform product decisions. Proactively monitor product performance and provide actionable insights and recommendations to improve user experience.
  • Design and analyze experiments or quasi-experiments to test hypotheses and evaluate the impact of Integrity-related features.
  • Develop and maintain dashboards and monitoring tools to track key safety and risk metrics.
  • Produce clear, data-driven insights and recommendations, and communicate findings to cross-functional stakeholders.
  • Support the evolution of metrics and measurement frameworks for Integrity products under guidance from senior team members.
  • Contribute to improving data quality, pipelines, and analytical infrastructure related to trust and safety use cases.

You’ll need:

  • Bachelor’s degree or equivalent in a quantitative field, Master’s degree or PhD with a social science background preferred. 
  • 1-2 years of professional working experience in Data Science and/or analytics preferred. 
  • Experience with SQL and data visualization tools (e.g. Tableau or Mode) is a plus, not required.
  • Familiarity with scripting languages (e.g., Python or R) and applied statistical methods; experience with A/B testing is a plus.
  • Exposure to causal inference concepts or methods 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, potential improvements to our data infrastructure, and unanswered questions about member behavior. 
  • Comfort using descriptive and inferential statistics. 
  • Curiosity of how things work, from both a business and technical perspective. 
  • A collaborative growth mindset with a dedication to community-based projects and partnerships. 

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!

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

Top Skills

Data Visualization Tools
Mode
Python
R
SQL
Tableau
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The Company
Dallas, TX
1,400 Employees
Year Founded: 1995

What We Do

Match Group is home to some of the world’s most popular dating and social discovery apps, including Tinder, Hinge, Match, and more. Match Group’s mission is to spark meaningful connections for every single person worldwide. Our diverse portfolio of apps enables connections across a diverse range of ages, genders, backgrounds, and dating goals. Our services are available in over 40 languages to users all over the world.

Why Work With Us

Match Group is united by a mission to help people find meaningful connections and fight loneliness. We’re not just building products. We’re creating friendships, marriages, and families around the world. Our culture is fueled by purpose, creativity, and a passion for what we can build together.

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