Description
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 Staff Decision Scientist, Partner Excellence at Relay, you’ll:
- Decide which Partner Excellence problems are real and which only look real, before anyone builds a fix.
- Design how Partner Excellence decides: which signals count, what evidence the network runs on, and what good looks like.
- Tell the squad lead what to change and what to stop, and get a decision.
- Build the thing that decides: data applications, monitors and alerts, not decks, using Claude and agents to ship your own tools.
- Go and look when the data and the street disagree: the sort centre, the van, the shop.
- Get the missing data built, and prove which fixes worked. In a year, the squad can prove every handover in the network.
You’ll need to have:
- Owned fraud, risk or trust decisions end to end: turned investigations into rules, standards or interventions, and owned their number, such as the false positive rate you were held to, rather than building the model.
- Run investigations in fraud, risk, financial crime or trust and safety, and decided whether a signal was real or noise.
- Seen your work acted on: a leader changed a plan, a team adopted your method, or engineers built what you asked for.
- Worked somewhere with enough volume for a false positive rate to mean something, where your rules ran live and something happened when they were wrong.
- Got records created by teams who didn’t report to you, and know how long it takes.
- Be hands-on and fluent in SQL, with or without AI, and would rather ship a working answer this week than a perfect one next quarter.
Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
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