Requires Ph.D. in Operations Research, Mathematics, an Engineering field or closely related field 2 yrs experience utilizing mathematical models, machine learning algorithms and operations research techniques to analyze and make validated data predictions; generating reports on model inputs, outputs, observed outputs and key performance indicators; developing ETL data pipeline solutions using Python; performing complex analysis of large volumes of data using HIVE big data solutions; using AWS cloud services in S3, EC2, Lambda Redshift; coordinating machine learning workflows using Apache Airflow; and developing performing adhoc queries against SQL cloudbased databases and data warehouses. Will also accept Masters degree in said fields and 5 years stated experience.
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