Manager of Analytics (Trust & Safety)

Join Tinder as the Manager of Analytics for the Trust & Safety team. In this hands-on management role, you will lead a team of data scientists and serve as the analytics partner to the Product Team Leads across four key pillars: Safety Products, Account Integrity, Anti-Abuse, and Moderation & Ops. You will shape the analytical strategy, mentor your team, and drive data-driven insights to enhance member safety and experience.

• Manage, coach, and grow a team of data scientists supporting the Integrity organization, owning hiring, career development, and performance.
• Serve as the Analytics Partner to Integrity Product Leadership, acting as the primary data science partner to the Product Team Leads for Safety Products, Account Integrity, Anti-Abuse, and Moderation & Ops.
• Personally lead high-stakes or highly ambiguous investigations, build and maintain the analytical frameworks the team relies on, and define the metrics that govern Integrity's trade-off between protection and member experience.

• Ability to communicate complex findings clearly, influence cross-functional stakeholders, and prioritize across competing needs
• Experience providing hands-on technical guidance while managing and developing a team
• Understanding of classifier evaluation, including precision, recall, threshold selection, and the trade-offs between false positives and false negatives
• Experience working with large, complex, event-level datasets and modern analytics or business intelligence tools (e.g., Databricks, Tableau, Mode)
• Bachelor’s, Master’s, or equivalent experience in a quantitative field, such as Statistics, Economics, Mathematics, Computer Science, Data Science, or a related discipline
• Deep experience with experimentation and causal inference, including designing approaches for settings where a clean randomized test is not available
• Experience in Trust & Safety, fraud, risk, content moderation, or another domain involving sensitive or adversarial behavior
• 5+ years of experience in data science or analytics, including 2+ years directly managing data scientists or analysts
• Expert-level SQL and strong working knowledge of Python or R for analysis and modeling
• Strong product and business judgment, particularly when balancing member protection, member experience, and operational cost
• Experience building or adopting AI-assisted analytics workflows at the team level
• Experience partnering with machine learning teams on detection or ranking models
• Familiarity with global online safety or age assurance regulations and related reporting obligations