Analytics Lead – Integrity & Safety

Tinder; New York (NY); Hybrid; USD 145,000 - 210,000; Full time

Benefits offered by this job

Flexible vacation

Volunteer time off

Comprehensive health, vision, dental

401(k) match & ESPP

Parental leave

Udemy learning stipend

Wellness benefits

Tinder Gold subscription

Job summary

Tinder is seeking a Manager, Analytics to lead the data science function supporting Integrity. You will manage a team of three data scientists across seniorities, while partnering with Product Team Leads across four pillars to shape analytical strategy and metrics.

The role is hybrid with in-office collaboration three days per week in NYC, LA, or Dallas, and requires hands-on analysis and mentorship to raise analytical quality across the organization.

Qualifications

• Bachelor’s, Master’s, or equivalent experience in a quantitative field.
• 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.
• Deep experience with experimentation and causal inference, including designing approaches for settings where a clean randomized test is not available.
• Experience with large, complex event-level datasets and BI tools.

Responsibilities

• Lead and develop a team of data scientists supporting the Integrity organization.
• Act as the primary data science partner to the Product Leads for four pillars: Safety Products, Account Integrity, Anti-Abuse, Moderation & Ops.
• Own measurement and experimentation frameworks with a focus on protected vs. member experience trade-offs.
• Translate insights into executive-level narratives and influence cross-functional decisions.

Skills

SQL

Python/R

Experimentation

Team leadership

Communication

Trust & Safety domain

Education

Quantitative degree

Tools

Databricks

Tableau

Mode

Job description

Tinder is seeking a Manager, Analytics to lead the data science function supporting Integrity. You will manage a team of three data scientists across seniorities, while partnering with Product Team Leads across four pillars to shape analytical strategy and metrics.

The role is hybrid with in-office collaboration three days per week in NYC, LA, or Dallas, and requires hands-on analysis and mentorship to raise analytical quality across the organization.