Data Scientist

Our Mission:

As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing.

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We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.

The Team

The Analytics team is looking for curious individuals excited to drive data-informed decision-making at Tinder. We are a strategic partner to Product, Design, Engineering, and Machine Learning, using our comprehensive datasets to develop experiments, understand and evolve metrics, build automated reporting, and generate exploratory insights that guide business and product decisions. These insights are key to both the performance of our business and the experience of our members.

We are hiring Data Scientists into a shared pipeline with opportunities to join one of several product pods, including Core, Recommendations, and Growth.

• Core

  focuses on the end-to-end member experience across registration, swiping, matching, and messaging, ensuring a healthy, engaging marketplace.

• Recommendations

  focuses on ranking, personalization, and signals to surface the right profiles and experiences at the right time.

• Growth

  focuses on validating new “greenspace” hypotheses, acquisition, activation, and lifecycle experiences (including messaging and channels) that help members discover more value on Tinder.

During the interview process, we’ll work closely with you to determine which pod is the best match based on your background, interests, and our current needs.

Where you’ll work:

This position can be located in Los Angeles, San Francisco, Palo Alto, CA, or Dallas, TX

In this role, you will:

• Drive rigorous testing (e.g., A/B and quasi-experiments) to validate hypotheses and guide product and business decisions across Core, Recommendations, and Growth.
• Find the “story” in the data and share insights with product, engineering, design, and machine learning partners, as well as at a company level.
• Be an authority with a point of view for the organization, using data to continually challenge and reshape our understanding of member behavior and business performance.
• Derive and communicate data‑driven recommendations on both the prioritization of potential initiatives and the performance of current features and experiments.
• Define and operationalize metrics at the company-, team-, and product-level via rollout tables, dashboards, and automated reporting.

You’ll need:

• Bachelor’s degree in a quantitative field (or equivalent experience); Master’s degree or PhD with a social science background preferred.
• 2–4 years of professional experience in Data Science and/or Analytics.
• Familiarity with two‑sided consumer ecosystems, ideally within consumer technology or marketplaces.
• Experience with SQL and data visualization tools (e.g., Tableau or Mode).
• Hands-on experience designing and implementing experiments (e.g., randomized tests, A/B tests) to drive key product decisions.
• Familiarity with Python or R, using descriptive and inferential statistics and machine learning models.
• Demonstrated ability to collaborate effectively with design, product, engineering, and/or machine learning teams to move initiatives from concept to launch.
• Ability to develop a nuanced business understanding, frame testable hypotheses, and extract meaningful findings from data.
• Ability to present data, insights, and technical concepts to both technical and non-technical audiences.

Differentiators:

• Deep curiosity about how things work—from both a business and technical perspective—that leads you to identify and explore new product opportunities, improve data infrastructure, and dive deeply into understanding member behavior.
• Proactive collaborator who engages cross-functional partners (Product, Engineering, Machine Learning, Design, Marketing) to influence decision-making, and who is comfortable voicing concerns and alternative perspectives.
• Ability to prioritize across multiple projects, make thoughtful tradeoffs, and communicate timelines and risks clearly to stakeholders.

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

• Unlimited PTO (with no waiting period), 10 Sick 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!