Founding Data Scientist / ML Engineer

The role

You will build risk and prediction models, dynamic re-routing optimization, and data and feature infrastructure. You will also develop an experimentation system to measure model performance on live shipments.

What you will do

• Build risk and prediction models to flag customs holds and temperature excursions
• Develop dynamic re-routing optimization to decide alternate routing and carriers
• Own the pipelines and feature layer for 50+ external data sources
• Build the offline evaluation and online experimentation system
• Talk directly to customers to gather feature-selection input
• Define metrics for model measurement and performance

Required qualifications

• 3-9 years of applied data science or ML experience
• Experience putting models into production with evaluation and monitoring
• Strong in Python and the modern data and ML stack
• Comfortable owning data infrastructure including pipelines and feature engineering
• Real experimentation rigor
• Understand data modeling and how work connects to surrounding systems
• Based in San Francisco or Chicago
• Excited about being in the office

Benefits

• Best-in-class medical (100% self)
• Best-in-class dental (100% self, 50% dependents)
• Above market equity

Before you apply

• No remote application accepted

About the company

Zoomlogi is a logistics company tracking shipments to make critical shipments visible, predictable, and on time. It was founded by a team of operators with experience in Logistics Tech and Healthcare.