What you'll do:
- Develop and refine automated solutions: Build upon our existing automation and data science platforms to automate reactive and proactive actions for detecting and disrupting novel bot attacks.
- Create robust fraud detection techniques: Devise techniques that leverage our collected signals to produce robust automated fraud detection methods, using rigorous experimentation to ensure resilience against evolving threats.
- Support and validate automation solutions: Contribute to experiments that demonstrate the value of our emerging automation solutions by identifying and analyzing anomalies indicative of fraud.
- Collaborate with the team: Actively participate in team responsibilities, including code reviews, anomaly monitoring, and technical debt management.
- Enhance our operations toolsets: Contribute to the development of our operations toolsets to improve efficiency, automate tasks, and create innovative methodologies.
- Drive continuous improvement: Demonstrate a strong sense of ownership and a commitment to finding ways to do things better, faster, and leaner.
- Boost cross-team integration and insights: Break down barriers by collaborating with other project owners to join datasets and automate actions across the ecosystem
Who you are:
- You have experience solving large-scale, data-intensive problems in production systems (we process trillions of events per day, so literacy with large datasets is a must!).
- You can explain the nuances of different statistical modeling approaches and make informed decisions on which to use, whilst also having the engineering awareness of the realities of shipping working models to production.
- You are proficient with Python and SQL and familiar with related tools, libraries and platforms (e.g. Pydantic, Jupyter, Pandas, NumPy etc). You are fluent in Object Oriented development and have strong debugging skills. You have experience using templates and stored procedures for SQL queries.
- You have experience with technologies like Kubernetes, Airflow, Vertex AI, Cloud Run, and BigQuery. You are comfortable building and interfacing with APIs.
- You are not afraid of diving deep into parallelization, threading, state machines, and lexers to solve problems and build new capabilities.
- You have a good understanding of the principle technologies underpinning the web.
- You have a good sense of ownership which drives you to find ways to do things better, faster, and leaner; you hold yourself accountable for the quality and accuracy of your work
- You have experience working on cross-functional projects, with multiple stakeholders; and following SDLC best practices: project management, version control, unit testing, and CI/CD
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