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About the Role

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 are seeking a Manager, Analytics to lead the data science function supporting Integrity. You will manage a team of three data scientists spanning a range of seniority — with room to grow it as the space expands — while serving as the analytics partner to the Product Team Leads across all four Integrity pillars. This is a hands-on management role: you will own the analytical strategy for the space, but you are also expected to stay close to the data — leading investigations yourself when the question warrants it, and raising the bar on your team's work through direct technical mentorship rather than review alone.

Responsibilities

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.
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.
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.
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.
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.

Requirements

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.
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.

Skills

SQL
Python
R
Experimentation
Causal Inference
Databricks
Tableau
Mode
Classifier Evaluation
Product Judgment
Business Judgment
Communication
Stakeholder Management
Prioritization

Location

NYC
Los Angeles
Dallas

Work Type

Hybrid

Experience Level

5+ years of experience in data science or analytics
2+ years directly managing data scientists or analysts

Education Level

Bachelor’s, Master’s, or equivalent experience in a quantitative field

Salary/Compensations

$145,000 - $200,000 a year
$145,000 - $210,000
Los Angeles, CA: $171,000 - $200,000
New York, NY: $179,000 - $210,000
Dallas, TX: $145,000 - $161,5000

Benefits

Flexible Vacation
10 Sick Days
Time off to volunteer
Charitable donations matched up to $15,000 annually
Comprehensive health, vision, and dental coverage
100% 401(k) employer match up to 10%
Employee Stock Purchase Plan (ESPP)
100% paid parental leave (including for non-birthing parents)
Family forming benefits
Investment in your development: mentorship through our MentorMatch program
Access to 6,000+ online courses through Udemy
Annual $3,000 stipend for professional development
Investment in your wellness: access to mental health support via Modern Health
Paid concierge medical membership
Pet insurance
Fitness membership subsidy
Commuter subsidy
Free subscription to Tinder Gold

About the Company

As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive.
With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing.
We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.
Our Values: Take the Lead, Move Fast, Better Together, Real Talk, Safety First, Spark Fun.
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, Account Integrity, Anti-Abuse, and Moderation & Ops.
Every decision in this space carries a trade-off: friction that stops a bad actor also costs a real member a moment of their experience, and the only way to navigate that honestly is with rigorous measurement.

Equal Opportunity

At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds.
Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer.
Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences.
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.