reqspace
Start free trial →
S
STANDARD & POOR'S FINANCIAL SERVICE

Senior Data Scientist

Gurugramonsitesenior

Posted today · via Workday

See if I'm a fit →Tailor my resume for this role →Apply on Workday ↗

About this role

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.…

Read the full description on STANDARD & POOR'S FINANCIAL SERVICE's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, r, sql, aws, docker…

2

Level fit

This role is senior-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Gurugram. We weight your proximity and willingness to relocate.

Score yourself on this role.
Free · no card · written explanation included
See if I'm a fit →

Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonrsqlawsdockerterraformserverlesspyspark

More at STANDARD & POOR'S FINANCIAL SERVICE

See all open jobs at STANDARD & POOR'S FINANCIAL SERVICE →