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AI Delivery Time Window Prediction Engineer

Orvion Systems

Remote · $130k – $160k / year · Full-time · Posted 3 months ago

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About the role

You'll be the third data scientist on our logistics forecasting pod, working next to the fleet routing lead. We already have solid routing and warehouse slotting optimization — packages generally get where they need to go efficiently once they're in a truck. What's missing is a tighter prediction on delivery time windows themselves: customers get a four-hour window today, and support tickets spike whenever a driver runs early or late against that estimate. Nobody currently models why those windows miss as often as they do. Your role is to build a delivery time window prediction model that accounts for route, traffic, and driver-specific patterns, tightening the window we can confidently promise to a customer at checkout.

Fully remote.

Responsibilities

  • Build delivery time window prediction models using route and driver-level data
  • Reduce the frequency of missed delivery windows flagged by support
  • Partner with the fleet routing lead to incorporate live routing signals
  • Backtest window predictions against historical delivery outcomes
  • Present window accuracy improvements in the logistics forecasting pod review

Requirements

  • Strong Python and pandas skills for large-scale delivery data
  • Experience with scikit-learn or comparable modeling libraries
  • Comfortable with SQL for querying route and delivery event data
  • Familiarity with Spark for processing high-volume delivery event streams

Benefits

  • Remote-first with quarterly pod syncs
  • Health, dental, and vision insurance
  • Stock options with standard vesting
  • Clear ownership within a small forecasting pod
  • Direct visibility into customer-facing delivery accuracy metrics

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$130k – $160k / year

AI Expertise

Data Science & Analytics

Skills

python pandas scikit-learn sql statistics spark

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