Senior Data Scientist, Experimentation

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe’s largest-ever logistics Series A ($35M) led by deep-tech investors Plural, and a recently closed Series B ($95M), Relay is scaling faster than 99% of venture-backed startups.

As a Senior Data Scientist at Relay, you'll lead causal inference at Relay from the start. You'll set the standard for causal inference, measure how Relay's decisions affect each courier, shape how Relay experiments across a live, two-sided marketplace, adapt advanced techniques across causal inference, statistics and machine learning to Relay's problems, and partner with Operational Research to embed your insights and models into Relay's network-wide optimisation.

Responsibilities:

• Set the standard for causal inference at Relay
• Measure how Relay's decisions affect each courier, today and over time
• Shape how Relay experiments across a live, two-sided marketplace
• Adapt advanced techniques across causal inference, statistics and machine learning to Relay's problems, and see them through to production
• Partner with Operational Research to embed your insights and models into Relay's network-wide optimisation, and help build Relay's research culture and voice in the tech community

Requirements:

• Deep expertise in causal inference, experimentation and machine learning
• Background in statistics, an experimental science such as biology or psychology, or quantitative research
• Experience applying advanced techniques to real marketplaces or products
• Ability to think in mechanisms and let evidence guide decisions
• Strong collaboration and communication skills

Benefits: No benefits mentioned