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.
Lead Causal Inference Scientist — Production ML employer: Relay Technologies
Relay is an exceptional employer, offering a vibrant work culture that thrives on innovation and collaboration in the heart of Shoreditch. With generous equity options, comprehensive health benefits, and a commitment to employee growth through hands-on experience and mentorship, Relay empowers its team to tackle complex challenges in logistics while enjoying extensive perks and a supportive environment. Join us to be part of a mission-driven company that values your contributions and fosters a sense of ownership and community.
