Hours
40 hrs/week
Schedule
Generous Parental Leave
Location
Hybrid · Gurugram, Haryana or Bengaluru, Karnataka
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.
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