Data Scientist II - User Fraud - Remote

Overview

We’re looking for a Data Scientist to join the band. You’ll help us expand detection and mitigation methods against abuse across all audio verticals on our platform. The team’s goal is to ensure a fraud-free experience for users and creators by employing advanced technology and evolving strategies to maintain fair engagement and accuracy.

In Short

• Investigate evolving fraud trends and consumption habits to enhance detection capabilities.
• Apply your expertise in quantitative analysis, data mining, and data presentation to help automate, optimize and understand key business problems and solutions.
• Build data and tooling to empower operational and exploratory data analysis while optimizing for speed, accuracy, and quality.
• Work closely with cross-functional teams of data and backend engineers, and product managers.
• Partner with a broad range of stakeholders across music, podcasts and audiobooks to consistently uphold platform integrity.

Requirements

• A Bachelor's degree in Data Science, CS, or another quantitative field.
• 4+ years work experience with an emphasis on investigative data analysis, anomaly detection, and data pipelines.
• Deep understanding of data with expertise in data manipulation and design (SQL) and experience in Python.
• An ambitious thinker, able to work autonomously, capable of tackling loosely defined problems and translating sophisticated thinking into practical application for diverse audiences.
• A communicative person who values building strong relationships with colleagues and enjoys collaborating with others.
• A continuous learner, excited by new technologies and able to pick up new tools and frameworks quickly.

Benefits

• This role is based in Toronto.
• We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.