Machine Learning Strategist

2 weeks ago

Brisbane, Queensland, Australia beBeeFraudDetection Full time $120,000 - $150,000
Job Description

Develop and deploy fraud detection models to prevent revenue leakage across monetisation channels.

Collaborate with backend engineers, data scientists and product managers to build and iterate on fraud prevention strategies.

Architect, build and maintain ML systems that underpin fraud detection and response.

Mentor and upskill engineers and data scientists in the team to support you.

Advocate for ethical AI practices and user trust in fraud prevention approaches.

Required Skills and Qualifications
  • Built and deployed machine learning models in production environments (preferably for fraud, abuse or anomaly detection use cases).
  • Comfortable working across the ML lifecycle – from data wrangling to evaluation and model iteration.
  • Operate strategically—not just building what's asked, but shaping what should be built.
Benefits

We celebrate all types of skills and backgrounds. Even if you don't feel like your skills quite match what's listed above, we still want to hear from you.

Others

This role is focused on preventing revenue leakage through effective fraud detection and prevention strategies.

The Revenue Fraud Prevention team is responsible for understanding how our business attracts fraud and finding ways to manage it effectively.

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