Senior Data Scientist
S&P Global Market Intelligence · Gurugram · onsite · Posted 35d ago
Undisclosed3–6 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Job Summary
Grade Level (for internal use): 10
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, industry analysts, data scientists and technology partners. The role also contributes to cloud and DevOps activities across AWS, Docker and Terraform when needed.
A key part of this position is applying generative AI and intelligent workflow automation to improve how the team discovers, validates, transforms and operationalizes data. This includes building secure, observable and human-governed AI-assisted workflows, evaluating their quality, and integrating them responsibly into existing data pipelines and business processes.
Key Responsibilities Data Science, Engineering Quality Sourced from naukri
Skills
AutomationCode ReviewCI/CD Pipelinescloud engineeringcloud platformsapisautomated testingAws Servicesamazon web servicesclassificationcontainer securityCasAnalyticsContainercloudcomplianceAi SolutionsArtificial Intelligence