Remote Senior Data Scientist

Posted 2 hours ago

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Description:

  • Build and own machine learning models for ETA/ATA forecasting and message-based status extraction.
  • Work end-to-end from data pipeline to production deployment and monitoring, using real-world logistics data.

Requirements:

  • Strong ML fundamentals in regression, classification, and time-series forecasting.
  • Experience with NLP, production ML, Python, SQL, AWS, and model monitoring tools.
  • Ability to work with noisy data and diagnose performance gaps between offline and live models.
  • Experience mentoring other data scientists and making independent architecture decisions.

Benefits:

  • Medical benefits start on the first day of employment.
  • 36 PTO days, 5 recharge days, 2 volunteer days, and wellness stipends.

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