Eventbrite's Risk pillar builds guardrails to ensure creators get paid and attendees find events, while preventing fraud and maintaining platform security as the company expands globally and launches new features.
Requirements
- Fluency with machine learning algorithms and AI solutions including deploying and monitoring in a real-time production environment, rapid prototyping, and experimentation
- Ability to lead the design of sources of truth, navigate data processing dependencies and drive toward improved reliability and reduced time to insight and decision
- Strong experience with data processing and machine learning using a python-based stack (>4 years)
- Experience with DBT, Airflow, Sagemaker ecosystem, and Tableau
- Direct experience in content moderation, fraud and spam detection or related topics
Responsibilities
- manage a team of data scientists and analysts that designs and deploys machine learning solutions
- designs the rules that help us respond quickly to issues that arise
- develops reliable data sources that measure our success through business impact
- design monitoring and feedback loops to confirm that our solutions remain reliable as the platform develops and our adversaries change tactics
- identify opportunities to improve team operation through technical recommendations and process improvements
- leverage your familiarity with classic approaches or learn new ones to develop practical, durable solutions to trust issues including both real-time and offline applications
- Your team’s scope spans a wide variety of marketplace features including transaction monitoring, account security, and multiple modes of spam detection and content moderation.
Other
- Outstanding interpersonal and communication skills including facilitation skills involving the whole team in group based decision making
- Excellent communicator experienced in collaborating with management in product, engineering, and operations to balance operational readiness and project workstreams
- Demonstrated ability to grow and lead high-functioning, diverse technical teams through coaching, training, and career development (>2 years)
- Experience working within a highly collaborative, remote-first environment, driving a team that ships code to production often.
- Advanced Degree in a relevant field
