Data Scientist I, Integrity

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!