ZoomLogi

Founding Data Scientist

San Francisco HQ · Exec

Sponsorship not specified$180k-$240kDetected 50 days ago

TypeScriptPythonReactRESTKafkaMachine LearningData ScienceLLMsA/B TestingSupply ChainLogisticsResearch

About the role

The platform sees more about a shipment than anyone else in the supply chain does.
Your job is to turn that into prediction: models that flag the customs hold, the temperature excursion, and the silent carrier before the issue reaches a patient.
This is the Predict in our See/Predict/Act framework, and it is the part customers cannot get anywhere else.

You'll own the pipelines and feature layer that turn 50+ messy external sources into model-ready signal at low latency.
Building features that hold up against that, and that the next model can reuse, is yours.
You'll own it end to end: the models, the data and feature infrastructure they run on, and the experiments that prove they work.
You'll define how we measure a model, not just build one.
You hear something from a customer, decide what's worth predicting, find or build the signal, and ship it.
You find the domain genuinely interesting. The compliance constraints, the quality and logistics tension, and the fact that your model's output moves medication to real patients should read as compelling design constraints, not obstacles.

You have 3-9 years of applied data science or ML experience.
You have a specific recent example of something you built, owned, and put in front of real decisions, and you care about what happened after it shipped.
That is signal you can't get from the data alone.

models that flag the customs hold, the temperature excursion, and the silent carrier before the issue reaches a patient.

Best-in-class medical and dental (100% self, 50% dependents)
Above market (4-year vesting, 1-year cliff)
You'll build the optimization that turns a flagged exception into the best recoverable plan, balancing transit time, temperature exposure, cost, and the hard constraints a healthcare payload carries.

Founded by a team of operators with deep experience in Logistics Tech & Healthcare (Ex-Uber Freight GM + Airspace CRO), joined by rockstar engineers from the likes of Abbott, Uber, Hippocratic AI, BAM (Hedge fund), and others.
We're here to solve a real-world problem at scale, by making every critical shipment visible, predictable, and on time, so potentially life-saving therapies reliably reach the people who need them.
Python, React/TypeScript, Kafka, AWS.
The data layer runs on a continuous stream stitched across 50+ sources.
We do a lot of low-fidelity prototyping, Google Slides included.
LLM infrastructure and orchestration are increasingly central to how we build.
We move quickly.
Intro call: role fit, motivation, what you've shipped
Technical screen: a realistic modeling and data problem close to the actual work
Onsite: we'll work through a detection or prediction problem together
References then Offer
Base salary: $180K-$240K
Equity: Above market (4-year vesting, 1-year cliff)
Benefits: Best-in-class medical and dental (100% self, 50% dependents)

This listing is sourced directly from ZoomLogi's careers page and normalized into a canonical job model.