Pay
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Manager, Analytics (Trust & Safety)
New York, New York
Live, first seen by us 38 days ago- Pay
Multiple pay statements — pay source
Experience building or adopting AI-assisted analytics workflows at the team level. 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
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
Los Angeles, CA: $171,000 - $200,000 New York, NY: $179,000 - $210,000 Dallas, TX: $145,000 - $161,5000
Read the full posting- Work setting
Hybrid — work setting source
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:
Read the full posting- Employment
Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingManage, coach and grow a team of data scientists, including hiring and performance
Serve as the primary data science partner to the four Integrity product leads
Personally lead high-stakes investigations into abuse shifts and enforcement anomalies
Build frameworks for prevalence, enforcement precision and recall, and appeal rates
Define Integrity metrics and guide experiment design where A/B testing is hard
From the employer’s posting
Manage, coach, and grow a team of data scientists supporting the Integrity organization, owning hiring, career development, and performance.
Act as the primary data science partner to the Product Team Leads for Safety Products, Account Integrity, Anti-Abuse, and Moderation & Ops.
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.
Define the metrics that govern Integrity's trade-off between protection and member experience, and hold the organization to them.
Education & alternatives
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.
About Match Group
As humans, there are few things more exciting than meeting someone new.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 28, 202638 days ago
- Recorded sightings
- 31
- Last seen by us
- Nov 5, 2026
- Employer says posted
- Sep 22, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 38
Similar jobs usually come down between day 5 and day 41.
At Match Group, jobs usually come down by about day 43.
From 10,998 similar postings that came down, and 15 of Match Group’s. Coming down is not always a hire.
Match Group is hiring
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SQL
- Databricks
- Tableau
Where the posting names them
- 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.
- 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.
Your next step
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Already applied? Track this application
About Match Group
- People
- About 1,593 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as MTCH.
Demand for Analyst roles
New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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:
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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.
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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.
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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.
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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
-
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.
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Raise analytical quality through hands-on technical mentorship — reviewing methodology, pairing on complex analyses, and unblocking your team on ambiguous problems.
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Serve as the Analytics Partner to Integrity Product Leadership
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Act as the primary data science partner to the Product Team Leads for Safety Products, Account Integrity, Anti-Abuse, and Moderation & Ops.
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Shape roadmaps by sizing opportunities, pressure-testing hypotheses, and defining what success looks like before work starts.
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Translate ambiguous safety and abuse problems into tractable analytical questions with clear decision criteria.
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Stay Hands-On with the Data
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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.
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Own Measurement and Experimentation for Integrity
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Define the metrics that govern Integrity's trade-off between protection and member experience, and hold the organization to them.
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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.
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Establish causal measurement approaches for enforcement actions, verification challenges, and moderation policy changes.
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Translate Insights into Executive-Level Narratives
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Synthesize complex analyses into clear recommendations for Product, Engineering, Legal, Policy, and executive leadership.
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Support regulatory, transparency, and external reporting obligations with defensible numbers and clearly documented methodology.
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Influence decisions through structured communication, framing insights in terms of member impact, risk, and trade-offs.
You’ll need:
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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.
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Experience providing hands-on technical guidance while managing and developing a team.
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Experience in Trust & Safety, fraud, risk, content moderation, or another domain involving sensitive or adversarial behavior.
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Strong product and business judgment, particularly when balancing member protection, member experience, and operational cost.
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Ability to communicate complex findings clearly, influence cross-functional stakeholders, and prioritize across competing needs.
Nice to have:
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Familiarity with global online safety or age assurance regulations and related reporting obligations.
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Experience partnering with machine learning teams on detection or ranking models.
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Experience building or adopting AI-assisted analytics workflows at the team level.
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
Salary
145,000 – 200,000 USD per year
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.
#Tinder
Employment type
Full-time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Experience building or adopting AI-assisted analytics workflows at the team level. 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
More source context
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
More relevant text appears in the full description.
- Location & working pattern
New York, New York
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:
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.