Manager, Analytics (Integrity)

Manager, Analytics (Integrity)

Where you’ll work: This is a hybrid role and requires in-office collaboration three times per week in NYC, Los Angeles, or Dallas.

In this role, you will:

• Lead and Develop a Team of Data Scientists

• Manage, coach, and grow a team of data scientists supporting the Integrity organization, owning hiring, career development, and performance.

• Set clear ownership across the four pillars and balance your team's capacity against competing roadmap and escalation demands.

• Raise analytical quality through hands-on technical mentorship — reviewing methodology, pairing on complex analyses, and unblocking your team on ambiguous problems.

• Serve as the Analytics Partner to Integrity Product Leadership

• Act 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.

• Translate ambiguous safety and abuse problems into tractable analytical questions with clear decision criteria.

• Stay Hands-On with the Data

• Personally lead high-stakes or highly ambiguous investigations — abuse pattern shifts, enforcement anomalies, unexpected regressions in member experience.

• Build and maintain the analytical frameworks the team relies on: prevalence measurement, enforcement precision and recall, appeal and reversal rates, moderation queue throughput and quality.

• Retain deep fluency in the underlying data so that your reviews, estimates, and escalations are grounded in the data itself.

• Own Measurement and Experimentation for Integrity

• Define the metrics that govern Integrity's trade-off between protection and member experience, and hold the organization to them.

• Guide experimental design and interpretation for interventions where classic A/B testing is hard — low-prevalence outcomes, adversarial populations, and changes that cannot be ethically withheld.

• Establish causal measurement approaches for enforcement actions, verification challenges, and moderation policy changes.

• Translate Insights into Executive-Level Narratives

• Synthesize complex analyses into clear recommendations for Product, Engineering, Legal, Policy, and executive leadership.

• Support regulatory, transparency, and external reporting obligations with defensible numbers and clearly documented methodology.

• Influence decisions through structured communication, framing insights in terms of member impact, risk, and trade-offs.

You’ll need:

• Bachelor’s, Master’s, or equivalent experience in a quantitative field, such as Statistics, Economics, Mathematics, Computer Science, Data Science, or a related discipline.
• 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 working with large, complex, event-level datasets and modern analytics or business intelligence tools (e.g., Databricks, Tableau, Mode).
• Understanding of classifier evaluation, including precision, recall, threshold selection, and the trade-offs between false positives and false negatives.
• Experience providing hands-on technical guidance while managing and developing a team.
• Experience in Trust & Safety, fraud, risk, content moderation, or another domain involving sensitive or adversarial behavior.
• Strong product and business judgment, particularly when balancing member protection, member experience, and operational cost.
• Ability to communicate complex findings clearly, influence cross-functional stakeholders, and prioritize across competing needs.

Nice to have:

• Familiarity with global online safety or age assurance regulations and related reporting obligations.
• Experience partnering with machine learning teams on detection or ranking models.
• Experience building or adopting AI-assisted analytics workflows at the team level.

$145,000 - $200,000 a year

The salary range for this position is $145,000 - $210,000. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York, Los Angeles, OR Dallas. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.

Los Angeles, CA: $171,000 - $200,000

New York, NY: $179,000 - $210,000

Dallas