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Snoonu

الدوحة / Global

Senior data scientist: time series and logistics optimization

  • ر.ق.‏350000 QAR Per annum

Job Summary

Salary Range:
ر.ق.‏350000 QAR Per annum
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Job Description

Snoonu is seeking a senior data scientist to lead time series forecasting and optimization efforts for its Doha-based logistics network. You will design, implement, and validate models that improve ETA, preparation times, and demand forecasting, while collaborating with ML engineers, backend teams, and product managers. Responsibilities include experiments, robust benchmarking, and deploying retrainable pipelines. #J-18808-Ljbffr

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