Causal Inference Lead – Marketplace Optimization

Relay; Greater London; Hybrid; GBP 85,000 - 140,000; Full time

Job summary

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.

Qualifications

• Deep expertise in causal inference, experimentation and machine learning.
• Experience applying advanced techniques to real marketplaces or products.
• Ability to own the outcome and drive impact from insight to production.

Responsibilities

• Set the standard for causal inference across Relay.
• Measure how decisions affect couriers and customers over time.
• Shape experimentation across our live two-sided marketplace.
• Adapt advanced techniques across causal inference, statistics and machine learning to Relay's problems, and translate to production.
• Collaborate with Operational Research to embed insights into network-wide optimization.

Skills

Causal Inference

Experimentation

Machine Learning

Statistics

Operational Research

Productionization

Two-sided Marketplace

Model Deployment

Team Collaboration

Education

PhD in a quantitative field

Job description

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.