Manager of Analytics (Integrity)

Join Tinder as the Manager of Analytics (Integrity) and lead the data science function supporting our Integrity organization. You will manage a team of data scientists, serve as the analytics partner to the Product Team Leads across all four Integrity pillars, and shape roadmaps by sizing opportunities and defining success metrics. This is a hands-on management role where you will own the analytical strategy for the space and provide direct technical mentorship to your team.

Missions

• 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.
• Shape roadmaps by sizing opportunities, pressure-testing hypotheses, and defining what success looks like before work starts.

Profil recherché

- 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