ZoomLogi
Logistics
FoundingDataScientist
Neural analysis suggests this role is
optimal for Lead candidates.
“Founding Data Scientist at ZoomLogi. Skills: Data Science, Machine Learning, Data Engineering, MLOps. Turn data into prediction. Build risk models”
What You'll Achieve.
Cut manual ops effort in half; Models flag customs hold; Models flag temperature excursion; Models flag silent carrier; Detect problem; Turn flagged exception into plan; Build features that hold up; Build features next model can reuse; Prove models work; Measure model lift; Catch drift before customers do
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
3-9 years applied data science experience, 3-9 years ML experience, Models in production, Python, Modern data stack, Modern ML stack, Own data infrastructure, Pipelines, Feature engineering, Real-world data usable, Experimentation rigor, Data modeling, Work connects to systems, Based in San Francisco, Based in Chicago, Excited about being in office
Nice to Have
PhD preferred, Cloud platform certs
What You'll Do.
Turn data into prediction
Build prediction models
Build dynamic re-routing optimization
Build experimentation system
Build offline evaluation
Build online experimentation
How You'll Work.
Team & Collaboration
Cross-functional teams; Customer contact
Communication Scope
Customer contact
Process & Methodology
Roadmap planning
Full Job Description
Nobody calls a logistics coordinator to say things went well. They call because a $100,000 shipment of clinical trial medication has been sitting in customs for three days and nobody can explain why. Because a biologic therapy arrived outside its temperature window and the treatment has to start over. Because the patient is waiting and nobody in the supply chain can give a straight answer about the shipment’s location. This is the problem we’re solving. We’re a year in, tracking over 500,000 shipments (including for Fortune 100 customers), and we’ve already cut manual ops effort in half. General Catalyst, Eclipse Ventures, and Virtue led the seed. The angels are all former or current operators who've spent careers tracking down shipments themselves, such as Head of Logistics at Bristol Myers Squibb, CMO of Cardinal Health, President of Novo Nordisk US, President of UPS Air, and CEO of Uber Freight. They know the market is as large as the problem is broken. What we’ve built works, and the most interesting problems are still ahead of us. - Olivier, Co-founder & CEO THE ROLE Founding data scientist. 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 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. Every person at ZoomLogi talks directly to customers, and you will too. The ops manager who tells you which exceptions actually hurt is the best feature-selection input you'll ever get. WHAT YOU'LL BUILD - The risk and prediction models. The platform ingests a continuous stream from carriers, forwarders, IoT sensors, weather, and flight data,
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