πChina
Manager, Fraud Machine Learning
closed
Extend
π΅ $190k-$210k
πRemote - United States
Summary
Join our team at Extend as we modernize the protection plan industry using cutting-edge technology and top-notch customer service. As a Risk Analytics leader, you will own the implementation of technologies and strategies to prevent and detect claim fraud and abuse across various post-purchase products.
Requirements
- 8+ years of work experience building and deploying machine learning systems into production
- 2+ years experience mentoring and managing ML teams
- Proven track record building fraud detection or risk assessment tools
- Solid understanding of fundamental computer science concepts, software design best practices, software development lifecycle and common machine learning design patterns
- Expertise in Python/R, SQL; experience with TypeScript/JavaScript is a plus
- Strong people leadership skills; ability to develop top machine learning talent and leaders
- Excellent stakeholder management, with a track record of working cross-functionally to deliver results
- Empathy and humility
Responsibilities
- Own the implementation of technologies and strategies to prevent and detect claim fraud and abuse across a variety of post-purchase products, including product protection and shipping protection
- Lead a team of machine learning data scientists to develop robust and intuitive machine learning models to identify fraudulent activity and actors
- Closely partner with product, engineering, and operations teams to productionalize and optimize fraud detection and related models
- Cultivate a culture of learning and collaboration within and across partner teams
- Perform design and code reviews to raise the technical excellence bar
- Hire, mentor and coach junior data scientists
- Optimize and deploy machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Benefits
- Competitive salary based on experience
- Full medical and dental & vision benefits
- Stock in an early-stage startup growing quickly
- Very generous, flexible paid time off policy
- 401(k) with Financial Guidance from Morgan Stanley
This job is filled or no longer available
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