5 years of progressive professional experience in a Data Scientist or Machine Learning Engineer role.
Mandatory 3 years of experience working specifically within the Transportation Logistics Supply Chain or Fleet Management industry.
Expert proficiency in Python and its data science ecosystem ( NumPy scikit-learn TensorFlow/PyTorch).
Advanced proficiency in PySpark for large-scale data processing and machine learning model development.
Expert experience with Azure cloud services relevant to data science (e.g. Azure ML Azure Data Factory Azure Data Lake Storage Azure Synapse).
Mandatory expertise working with Databricks (Delta Lake MLflow) for model training tracking and deployment.
Strong SQL skills for data querying and manipulation.
Proven ability to work with unstructured and distributed data sources common in the transportation sector (telematics GIS/location data sensor data).
Excellent written and verbal communication skills capable of presenting complex results to a non-technical audience.
Demonstrated experience delivering production-ready machine learning solutions with measurable business impact.
5 years of progressive professional experience in a Data Scientist or Machine Learning Engineer role. Mandatory 3 years of experience working specifically within the Transportation Logistics Supply Chain or Fleet Management industry. Expert proficiency in Python and its data science ecosystem ( NumP...
5 years of progressive professional experience in a Data Scientist or Machine Learning Engineer role.
Mandatory 3 years of experience working specifically within the Transportation Logistics Supply Chain or Fleet Management industry.
Expert proficiency in Python and its data science ecosystem ( NumPy scikit-learn TensorFlow/PyTorch).
Advanced proficiency in PySpark for large-scale data processing and machine learning model development.
Expert experience with Azure cloud services relevant to data science (e.g. Azure ML Azure Data Factory Azure Data Lake Storage Azure Synapse).
Mandatory expertise working with Databricks (Delta Lake MLflow) for model training tracking and deployment.
Strong SQL skills for data querying and manipulation.
Proven ability to work with unstructured and distributed data sources common in the transportation sector (telematics GIS/location data sensor data).
Excellent written and verbal communication skills capable of presenting complex results to a non-technical audience.
Demonstrated experience delivering production-ready machine learning solutions with measurable business impact.
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