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Manager, Analytics (Trust & Safety)

Match Group· Tinder – Product Analytics / Data Science & Analytics
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Hybrid (New York, NY), Hybrid (Los Angeles, CA), Hybrid (Dallas, TX)$145k - $210kFull-timePosted 4w ago

About the role

Manager, Analytics to lead the data science function supporting Tinder’s Integrity (Trust & Safety) organization. Hybrid role in NYC, Los Angeles, or Dallas with in-office collaboration three days per week.

Responsibilities

  • Lead and Develop a Team of Data Scientists: Manage, coach, and grow a team of data scientists supporting the Integrity organization; set ownership across the four pillars; raise analytical quality through hands-on mentorship.
  • Serve as the Analytics Partner to Integrity Product Leadership: Act as the primary data science partner to Product Team Leads for Safety Products, Account Integrity, Anti-Abuse, and Moderation & Ops; shape roadmaps and translate problems into analytical questions.
  • Stay Hands-On with the Data: Lead high-stakes investigations; build and maintain analytical frameworks (prevalence measurement, enforcement precision/recall, appeal and reversal rates, moderation queue throughput and quality); retain deep fluency in data.
  • Own Measurement and Experimentation for Integrity: Define governance metrics; guide experimental design and interpretation for challenging settings; establish causal measurement approaches for enforcement actions and policy changes.
  • Translate Insights into Executive-Level Narratives: Synthesize analyses into recommendations for Product, Engineering, Legal, Policy, and executives; support regulatory and external reporting with defensible numbers.

Qualifications

  • Bachelor’s, Master’s, or equivalent in quantitative field (Statistics, Economics, Mathematics, CS, Data Science, or related).
  • 5+ years in data science or analytics, including 2+ years directly managing data scientists or analysts.
  • Expert-level SQL and strong Python or R for analysis and modeling.
  • Deep experience with experimentation and causal inference; designing approaches where randomized tests aren’t available.
  • Experience with large, complex, event-level datasets and analytics/BI tools (e.g., Databricks, Tableau, Mode).
  • Understanding of classifier evaluation (precision, recall, thresholds; false positives/negatives trade-offs).
  • Hands-on technical guidance while managing and developing a team.
  • Experience in Trust & Safety, fraud, risk, content moderation, or related adversarial domains.
  • Strong product and business judgment balancing protection, experience, and cost.
  • Excellent communication to influence cross-functional stakeholders and prioritize needs.

Skills

Required:SQLPython or RExperimentation & causal inferenceData storytelling / executive communication

Benefits

  • Flexible Vacation, 10 Sick Days
  • Volunteer time off 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 non-birthing parents) and family forming benefits
  • MentorMatch program, 6,000+ Udemy courses, $3,000 annual professional development stipend
  • Wellness benefits (mental health support via Modern Health, concierge medical membership, pet insurance, fitness subsidy, commuter subsidy)
  • Free Tinder Gold subscription
Last updated Oct 21, 2026. Interested? Apply on the company site.

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