02 Oct
|
S&P Global
|
Gurugram
02 Oct
S&P Global
Gurugram
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 technologies.
- Create fit-for-purpose analytical tools, prototypes and visualizations that help product, research and data-science stakeholders make informed decisions.
📌 Senior Data Scientist (Gurugram)
🏢 S&P Global
📍 Gurugram