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About the Role: Grade Level (for internal use): 10 Position Summary We are looking for a hands-on Data Scientist to join the Commodities At Sea (CAS) team. The role combines large-scale data processing, data wrangling and analytical problem-solving with the development of reliable, production-ready data products for maritime and commodity-flow analytics. The successful candidate will work extensively with Python and PySpark, use R where appropriate, and collaborate with product managers, indust…
Job Overview
Experience2-5
SalarySalary not disclosed
Job Typefull time
Date PostedToday
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