Staff Data Scientist - Trust and Safety

Highlights

• Build ML models to detect fraud, abuse and anomalous platform activity.
• Protect millions of VMs across three clouds serving global customers.
• Drive data-driven analysis of security programs to keep customer data safe.

What they offer

• Annual performance bonus
• Equity
• Comprehensive benefits and perks

Ideal candidate

Seasoned data scientist with 7+ years in high-growth tech who thrives cross-functionally and cares deeply about security, trust and customer safety. Strategic, communicative mentor excited to apply ML to fraud and compliance challenges.

Requirements

• 7+ years of data science, machine learning, and advanced analytics experience in high-velocity, high-growth companies
• Understanding of good software engineering practices around testing, code reviews, and deployment
• Experience working in highly cross-functional alignment and communicating results to non-technical partners
• Experience deploying Data Science / ML solutions in production to achieve results
• Coding skills in SQL and a software development language (preferably Python)
• Experience with distributed data processing systems like Spark and familiarity with software engineering principles
• Prior experience applying machine learning and data analytics to identify SaaS product misuse and enhance compliance preferred
• Masters or higher in quantitative fields or equivalent industry experience