Quantitative Researcher, Marketplace
Job description
Quantitative Researcher at Relay responsible for leading causal inference across a live, two-sided logistics marketplace, measuring how decisions affect couriers and embedding insights into network-wide optimisation.
At a glance
- Work mode
- Hybrid · London, United Kingdom
- Languages
- English
What you'll do
- Set the standard for causal inference at Relay
- Measure how our 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 our research culture and voice in the tech community
What we're looking for
- Deep expertise in causal inference, experimentation and machine learning, whether from a PhD, publications, or years at the frontier in industry
- Come from statistics, an experimental science such as biology or psychology, or quantitative research
- Have applied advanced techniques to real marketplaces or products, and owned the outcome
- Think in mechanisms, and let evidence guide decisions
- Are energised by open, interconnected problems, and know how to find the signal
- Collaborate generously, and explain complex ideas simply
Your team
Science
Science at Relay is the brain of the operation: machine learning, operational research, recommender systems, causal inference, location intelligence and experimentation, working together to decide how every parcel gets delivered.
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About Relay
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.
Mission
To free commerce from friction
Key facts
- ~160 people
- logistics
- Backed by Europe's largest-ever logistics Series A ($35M) led by deep-tech investors Plural
- Recently closed Series B ($95M)
- ~160 people, around half in engineering, product and data
- 45+ advanced degrees across computer science, mathematics and operations research
- Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle
- Four marketplaces, each with its own app and its own economics
Partners & customers
What they value
- Aim with Precision
- Play to Win
- 1% Better Every Day
- All In, All the Time
- People-Powered Greatness
- Grow the Whole Pie