Causal Inference Lead – Marketplace Optimization

Causal Inference Lead – Marketplace Optimization

Full-Time On-site
R

Relay is seeking a Quantitative Researcher to lead causal inference and experimentation across our live two-sided marketplace. You will measure the impact of decisions on couriers and customers, and shape productionized models that power Relay's network-wide optimisation.

You will apply advanced causal inference, statistics and machine learning, collaborate with Operational Research, and help grow Relay's research culture and voice in tech communities.

Causal Inference Lead – Marketplace Optimization employer: Relay

Relay is an exceptional employer, offering a dynamic work environment at our London Sort Centre where innovation meets operational excellence. With a strong focus on employee growth and development, we foster a culture of collaboration and continuous improvement, ensuring that every team member has the opportunity to contribute to our mission of transforming logistics. Our commitment to diversity and inclusion, combined with competitive benefits and a fast-paced, intellectually stimulating atmosphere, makes Relay a truly rewarding place to work.

R

Contact Details:

Relay Recruitment Team