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Staff Applied Scientist, Causal Inference
Contract type
Ongoing
Work mode
Hybrid · London, United Kingdom
Experience
Lead / principal · Not stated
Level inferred from job title
Job description
Staff Applied Scientist role at Relay leading causal inference across a live, two-sided logistics marketplace, measuring how decisions affect couriers and feeding 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.
Apply
About Relay
Relay is fundamentally reshaping how goods move in an online era, making millions of dynamic, interconnected decisions across its network every day.
Mission
To free commerce from friction
Key facts
- ~160 people
- logistics
- Backed by Europe's largest-ever logistics Series A ($35M) led by Plural, and a 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
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