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.

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Where you'll work:

This is a hybrid role and requires in-office collaboration three times per week. This position is located in West Hollywood (Preferred) or San Francisco.

In this role, you will have the opportunity to:

• Monitor Tinder bad actor detection platform health, ensuring integrity and user safety. Proactively identify and address any underlying issues related to career bad actors on the platform, both existing and emerging, in order to keep Tinder members safe
• Conduct comprehensive data analysis to identify patterns and anomalies associated with bad actors. Utilize data analytics software to analyze, manipulate, and process large data sets efficiently
• Drive enhancements to detection mechanisms and algorithms, aiming to optimize bad actor identification and mitigate Tinder member exposure to harm
• Showcase expertise in designing and implementing efficient and resilient engineering solutions to tackle and withstand complex adversarial challenges
• Form technical solutions to address complex bad actor detection problems, as driver and owner of the corresponding domain
• Code complex and efficient Spark SQL queries on datasets in the scale of hundreds millions of rows
• Adopt best practices and set high engineering standards for the team, form engineering and investigative recipes for the team to adopt
• Mentor and technically lead other members on the team when solving a problem;
• Collaborate with a broad set of stakeholders including Product, Policy, Engineering and Member Experience when solving a problem

What we are looking for:

• 3+ years professional experience in Python, SQL or other big data queries, such as Spark
• 3+ years professional experience in creating and maintaining algorithms
• 3+ years professional experience in using data visualization tools such as Grafana, Mode and Tableau
• 3+ years professional experience in exploring data in search for actionable intelligence
• 3+ years professional experience in performing data analytics in a python notebook environment, such as Databricks
• Exceptional communication and presentation skills

Bonus points if you have:

• Professional experience in data analysis or data science
• Professional experience in Trust and Safety, intelligence, cyber security or related field
• Knowledge and familiarity with highly skilled and advanced persistent bad actors
• Experience in leading technical projects and mentoring junior team members
• BS/MS or equivalent experience in Computer Science, Information Systems, Intelligence Studies, Cybersecurity or related field

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

• Unlimited PTO (with no waiting period), 10 annual Wellness 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

Anti-Abuse Analyst ID-4434