Staff Data Scientist - Risk

Eventbrite is a bustling marketplace where anyone can post an event in minutes or buy a ticket in seconds. The Risk pillar builds the guardrails that ensure our creators get paid and our attendees find amazing events. We ensure great experiences happen reliably and without unnecessary risks even as Eventbrite launches innovative features and expands into new markets across the world. Keeping ahead of fraudsters requires a balance of proactivity and reactivity with the agility to switch focus when necessary.  Our data scientists are central to the automation that keeps threats to our payment platform and our users without our creators or consumers noticing by designing low profile, high precision, AI- and ML-driven solutions to the ever-changing landscape of threats.

The Risk pillar is a high-performing, multi-disciplinary technical development collection of teams that includes data analysts, data scientists, product managers, and engineers. We work together toward the common goal of making Eventbrite the trusted marketplace for live experiences. We collaborate with product teams across the companies to control payment, content publication, and account security risks. Working in an ever-changing threat landscape, we are vigilant for emerging problems. We strive to build solutions through collaboration, building for flexibility, while staying focused on innovative solutions to these complex problems. 

You will design and deploy machine learning solutions to risk problems across a wide variety of features throughout the Eventbrite marketplace from transaction monitoring to account security to abusive language detection. You will leverage your familiarity with classic approaches or learn new ones to develop practical, durable solutions to trust issues. You will implement those solutions for use in both real time and offline applications. You will design monitoring and feedback loops to confirm that our solutions remain reliable as the platform develops and our adversaries change tactics. As a team lead, you will identify opportunities to improve team operation both technically and through process improvements.

•       Fluency with machine learning algorithms and AI solutions including deploying and monitoring in a production environment including application and data orchestration
•       Proven ability to create maintainable, iterative solutions and measure success using statistical methods
•     Excellent communicator and collaborator comfortable working with product, engineering, operations, and functional leadership about technical solutions and analytical findings
•     Ability to move quickly between problem areas making practical recommendations and autonomous decisions
•       Strong experience with data processing and machine learning in Python (>5 years)
•       Comfort with SQL and an ability using it to make sense out of complex data (>5 years)
•       Passion for mentorship and providing technical leadership over machine learning projects
•       Advanced Degree in a relevant field

•     Direct experience in content moderation, fraud and spam detection or related topics
•     Experience with DBT, Airflow, Sagemaker ecosystem, and Tableau