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We're Hiring: Staff Data Scientist β Fraud Detection
π Remote US \| π½ NYC preferred \| πΌ Full\-time
Are you obsessed with uncovering patterns, solving real\-world data puzzles, and staying ahead of digital fraudsters? π΅οΈββοΈπ₯ If you're passionate about machine learning, love tackling problems at scale, and want your work to make a real business impactβ
IAS wants you on our Fraud Team
.
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About the Role:
As a
Staff Data Scientist
, you'll be at the core of IAS's fraud prevention tech, helping to build real\-time, ML\-powered detection systems that safeguard billions of ad events per day across web, mobile, CTV, gaming, and more.
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What Youβll Do:
Drive innovative ML research to stop ad fraud in its tracks
Develop scalable IVT (invalid traffic) detection systems
Collaborate with cross\-functional teams \& the Threat Lab
Mentor junior data scientists \& lead high\-impact projects
Own your work from prototype β‘οΈ production β‘οΈ live monitoring
Make complex models understandable \& impactful to stakeholders
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You Bring:
PhD or Masterβs in Math, CS, Stats, Physics, Econ, etc.
6β10 years of real\-world ML/Data Science experience
Python, R, SQL mastery \& experience with weak supervision
Experience shipping ML systems end\-to\-end
Curiosity, creativity \& a commitment to rigorous science
A love for solving tough problems and telling stories with data π
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Salary Range (NY\-based):
$135,100 β $230,000 (based on experience \+ location)
π© Ready to fight fraud with science? Apply directly via LinkedIn and help us build the future of ad tech.