You provide the analytical depth and cross‑team influence needed to keep our platform safe and accurately measured. Fraud actors evolve rapidly, and attribution accuracy requires both mathematical skill and clear stakeholder guidance.
You will combine technical modeling with strong communication and organizational influence, helping teams understand how to interpret data, weigh model choices, and align around the right direction.
You shape both our fraud detection evolution and our attribution logic, not only through modeling but by driving the conversations that lead to the right strategic choices.
You’ll need to:
- separate genuine customer behavior from malicious or noisy signals
- investigate attack surfaces, bot behavior, and suspicious cohorts
- quantify uncertainties, biases, and econometric effects
- validate hypotheses using statistical reasoning
- improve attribution logic using statistical, econometric, ML, or neural network techniques
- guide PMs and business in understanding trade‑offs
- choose between ML, econometric models, or neural networks — and articulate why
You’ll work closely with cross-functional teams including data science, product, engineering, and business stakeholders, acting as a key resource for fraud detection and attribution analytics.
Expect a blend of hands-on data analysis, model development, team meetings, and stakeholder presentations, with a focus on driving actionable insights and platform safety.
