Manager, Analytics (Integrity)

Match Group; Los Angeles (CA); Hybrid; USD 145,000 - 210,000; Full time

Benefits offered by this job

Flexible vacation & sick days

Charitable donations matching

Health, vision, and dental coverage

100% 401(k) match + ESPP

Parental leave & family benefits

Professional development stipend

Job summary

Tinder is seeking a Manager of Analytics to lead the data science function supporting Integrity. You will manage a team of three data scientists and partner with Product Leadership across four pillars, while staying close to data and mentoring the team to raise the bar on analyses.

The role is hybrid, requiring in-office collaboration three times per week in NYC, Los Angeles, or Dallas, and involves owning measurement, experimentation, and storytelling for executives.

Qualifications

• Bachelor’s, Master’s, or equivalent in a quantitative field.
• 5+ years of experience in data science or analytics, including 2+ years of people management.
• Expert-level SQL and strong Python or R for analysis and modeling.
• Deep experience with experimentation and causal inference.
• Experience with large, complex event-level datasets and BI tools (Databricks, Tableau, Mode).
• Understanding classifier evaluation (precision/recall/thresholds).
• Experience leading and mentoring a team.
• Experience in Trust & Safety, fraud, risk, or content moderation.
• Strong product and business judgment.
• Ability to communicate complex findings clearly to stakeholders.

Responsibilities

• Lead and develop a team of data scientists.
• Serve as Analytics Partner to Integrity Product Leadership.
• Stay hands-on with data and analyses.
• Own measurement and experimentation for Integrity.
• Translate insights into executive-level narratives.

Skills

SQL

Python or R

Experimentation

Causal inference

Large event-level datasets

BI tools (Databricks/Tableau/Mode)

Team leadership

Product judgment

Communication

Trust & Safety / fraud / risk

Education

Quantitative degree (Bachelor’s/Master’s) or equivalent

Tools

Databricks

Tableau

Mode

Job description

Our Mission

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: We don’t ghost our work or each other. Just as users don’t leave their matches hanging, we don’t let each other down.
• Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today.
• Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate.
• Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same.
• Safety First: We act with integrity, transparency, and consistency so people feel safe—whether they’re swiping, matching, or working alongside us.
• Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters.

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.

• Account Integrity secures and qualifies accounts so that each one represents a unique, authentic, qualified individual — while controlling friction, acquisition cost, and privacy. It owns authentication and account access, Passkeys and SMS/OTP, account recovery, and our defenses against account takeover.

• Anti-Abuse proactively identifies, disrupts, and mitigates adversarial abuse at scale, balancing accuracy against responsiveness — owning scaled-abuse detection, signal analysis, the rules engine, rapid-response mitigations, and enforcement quality.

• Moderation & Ops keeps Tinder safe, resilient, and compliant through the internal tools, back-end systems, and AI integrations that drive moderation quality, operational efficiency, and data hygiene — including appeals and case tooling, AI moderation, and conversation safety systems.

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.

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.

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
• Serve as the Analytics Partner to Integrity Product Leadership
• Stay Hands‑On with the Data
• Own Measurement and Experimentation for Integrity
• Translate Insights into Executive‑Level Narratives

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, TX: $145,000 - $161,5000

As a full-time employee, you’ll enjoy:

• Flexible Vacation, 10 Sick Days
• Time off to volunteer and 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) and family forming benefits
• Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development
• Investment in your wellness: access to mental health support via Modern Health, paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy
• Free subscription to Tinder Gold

Commitment to Inclusion

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. Learn more here: https://www.lifeattinder.com/dei

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.

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