Data Scientist — Causal & Experimentation

At a glance

Focus: Causal ML and experiment design; skeptical of p-hacking and 'lift' that disappears next week.

Selected wins

• Stood up a pre-registration workflow for A/Bs; reduced peeking-driven false launches
• Partnered with data eng to fix exposure logs—segmentation you can actually trust in downstream models

What I want next

A team where offline eval + launch criteria are as important as the model architecture slide.

Profile for portal demo. Contact via example.org links only.