Research Scientist, Causal Inference
Job description
Research Scientist role at Relay focused on leading causal inference and experimentation across a live, two-sided logistics marketplace. The position measures how network decisions affect couriers over time and feeds insights into network-wide optimisation.
At a glance
- Work mode
- Hybrid · London, United Kingdom
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
- Bring 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
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
- 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