About the job
About Crunchyroll
Founded by enthusiasts, Crunchyroll passionately delivers the vibrant world of anime to a dedicated global audience. With over 100 million anime and manga fans spanning 200+ countries, we connect them to the stories and characters they adore. Whether through online platforms, live events, streaming video, merchandise, or gaming, our mission is powered by the anime content that brings us all together.
Join our innovative team and contribute to shaping the future of anime!
About the Role
As a Senior Data Scientist specializing in Fraud Detection, you will report directly to the Director of Machine Learning and Data Science. We are open to candidates located in Los Angeles, CA, or San Francisco, CA.
Your primary responsibility will be to leverage User Behavior Analytics and Modeling to enhance our efforts in detecting and preventing account sharing. You will utilize platform-collected data such as login patterns, device usage, IP addresses, and viewing behaviors. This role is crucial in deriving insights from large datasets to inform machine learning models that identify anomalous sharing activities, ultimately supporting our strategies for revenue growth and subscriber retention, inspired by industry leaders like Netflix and Disney+.
Core Responsibilities
- Perform exploratory data analysis on user session logs to establish benchmarks for normal and anomalous behaviors.
- Develop predictive models utilizing statistical and machine learning techniques to forecast and categorize user sharing patterns.
- Design and execute experiments to validate model accuracy and operational effectiveness.
- Collaborate with cross-functional teams to define data requirements and establish frameworks for ongoing behavioral monitoring.
- Create visualizations and reports to effectively communicate insights on user engagement and potential sharing risks to stakeholders.
- Ensure compliance with data privacy regulations while optimizing data pipelines for enhanced operational efficiency.
About You
We are eager to meet candidates who possess the following qualifications:
- Experience: 5+ years in data science roles focusing on behavioral analytics, ideally within tech or streaming sectors, with a proven track record in user behavior modeling, anomaly detection, and fraud prevention.
- Technical Skills: Proficiency in Python for data analysis and modeling, SQL for database querying, and experience with visualization tools such as Tableau or Matplotlib.

