This job is with S&P; Global, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ business community. Please do not contact the recruiter directly. 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, 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 Design, build and maintain scalable data-processing and analytical workflows using Python, PySpark and SQL; use R where it provides a explicit analytical advantage. Collect, clean, reconcile and transform large, complex, disconnected and semi-structured datasets into analysis-ready and product-ready assets. Develop reusable data components, features, models, validation checks and monitoring that improve the quality, reliability and explainability of CAS outputs. Perform exploratory analysis and root-cause investigation to identify anomalies, answer business questions and recommend data or process improvements. Build and optimize extraction, transformation and loading workflows using AWS data services and distributed-computing

📌 Senior Data Scientist (Haryana)
🏢 JobCrexa
📍 Haryana