Manager, Analytics (Trust & Safety)

Match Group, New York, New York +2

The team

The Data Science & Analytics team thrives on data-driven insights to make more informed decisions through our insights into our member's behavior, preferences, and common trends. We take ownership over the integrity of our data and work to improve data literacy across Tinder.

Integrity is where that work meets real-world stakes. Our Integrity organization is built on four product pillars working toward shared outcomes:

Safety Products enhances members' perception of safety through healthy engagement, safe-dating awareness, and support when something goes wrong — owning reporting and the Safety Center, verification and suspension flows, Face Check and Selfie Challenge, and our respectfulness and IRL safety experiences.

All jobs

Manager, Analytics (Trust & Safety)

Match Group, New York, New York +2

Posted pay

$145K–$200K

a year

Compared with similar jobs

This base pay is above the median for data and business analysis jobs in New York with no level in the job title.

Median: $137K a year
Other jobs in the group: 70

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

Location: New York, New York +2
Work type: Hybrid
Level: Not given, manager
Experience: 5+ years
Skills in the job text: A/B testing
Posted: Sep 22, 2026
Last check: 4 h ago
Job type: Data and business analysis

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Match Group

Open tech jobs: 37
With posted pay: 57%
Median posted base: $186K–$223K

About Match Group: funding, hiring and pay

Match Group

About Match Group: funding, hiring and pay

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The team

Integrity is where that work meets real-world stakes. Our Integrity organization is built on four product pillars working toward shared outcomes:

Safety Products enhances members' perception of safety through healthy engagement, safe-dating awareness, and support when something goes wrong — owning reporting and the Safety Center, verification and suspension flows, Face Check and Selfie Challenge, and our respectfulness and IRL safety experiences.

What you will do

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.

Manager, Analytics (Trust & Safety)

The team

Manager, Analytics (Trust & Safety)

The team

What you will do

You’ll need

Nice to have

As a full-time employee, you’ll enjoy

Commitment to Inclusion

About Match Group

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