Match Group
Manager, Analytics (Trust & Safety)
$145K–$200K
New York, New York +2 · Hybrid · Manager · Full-time · Posted Sep 22, 2026
- Location
- New York, New York
Los Angeles, California
Dallas, Texas - Experience
- 5+ years in data science or analytics, including 2+ years directly managing data scientists or analysts; experience in Trust & Safety, fraud, risk, content moderation, or another domain involving sensitive or adversarial behavior.
- Education
- Bachelor’s, Master’s, or equivalent experience in a quantitative field, such as Statistics, Economics, Mathematics, Computer Science, Data Science, or a related discipline.
About the job
Leads the analytics function for Tinder’s Integrity organization, managing data scientists and guiding measurement and product decisions across safety, account integrity, anti-abuse, and moderation.
What you'll do
- Manage, develop, and technically mentor a team of data scientists while balancing capacity across Integrity’s four pillars.
- Partner with product leaders to shape roadmaps, investigate safety and abuse issues, and define metrics and causal measurement approaches.
- Translate complex analyses into recommendations for cross-functional and executive stakeholders and support reporting obligations.
What they ask for
- Bachelor’s, Master’s, or equivalent experience in a quantitative field.
- Expert-level SQL and strong working knowledge of Python or R for analysis and modeling.
- Deep experience with experimentation and causal inference, including settings without clean randomized tests.
- Experience with large, complex event-level datasets; classifier evaluation; and hands-on technical guidance while managing a team.
Nice to have
- Familiarity with global online safety or age assurance regulations and reporting obligations.
- Experience partnering with machine learning teams or building AI-assisted analytics workflows.
Pay
USD 145,000–200,000 per-year-salary (base salary)
Tools
SQL, Python, R, Databricks, Tableau, Mode
AI focus
The role supports AI integrations in moderation and may partner with machine learning teams on detection or ranking models and build or adopt AI-assisted analytics workflows.
Model-written summary · the original posting is authoritative