Relay Technologies is seeking a Staff Applied Scientist to lead causal inference initiatives across a live two-sided marketplace. You will measure effects on couriers over time and shape experiments, applying advanced ML and statistics to production systems.
Ideal candidates bring PhD-level or equivalent experience, a track record in causal inference and production-ready tooling, and a collaborative mindset to grow Relay's research culture.
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Our group is growing, and we are hiring a Lead Causal Inference Scientist — Production ML in Greater London, England, United Kingdom.
Learn more about the Lead Causal Inference Scientist — Production ML role in the description above.
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