Staff Data Scientist
Gurugram, India, India • Posted May 30, 2026
Job Type:
Full-time
Location:
Gurugram, India
Posted:
May 30, 2026
Category:
other-general
Application Deadline:
June 09, 2026
Role Description
**What you will do-**
+ Translate stakeholder requirements to potential AI & data science solutions independently.
+ Contribute to discussions on identifying opportunities where machine learning can be applied to real-world business opportunities with key stakeholders.
+ Support data science and AI collaboration efforts with partners across functions and teams
+ Build and deliver presentations and communications that explain critical functions and findings to stakeholders with some guidance.
+ Apply fundamental and some advanced concepts, practices and procedures for problem solving
+ Automate repetitive data prep, feature engineering, and model monitoring pipelines with AI-driven tools.
+ Explore and integrate large language models (LLMs) and generative AI solutions to accelerate exploratory data analysis, reporting, and knowledge discovery.
+ Partner with engineering teams to operationalize models, embedding automation into core products and processes.
+ Translate stakeholder requirements to potential AI & data science solutions independently.
+ Contribute to discussions on identifying opportunities where machine learning can be applied to real-world business opportunities with key stakeholders.
+ Support data science and AI collaboration efforts with partners across functions and teams
+ Build and deliver presentations and communications that explain critical functions and findings to stakeholders with some guidance.
+ Apply fundamental and some advanced concepts, practices and procedures for problem solving
+ Automate repetitive data prep, feature engineering, and model monitoring pipelines with AI-driven tools.
+ Explore and integrate large language models (LLMs) and generative AI solutions to accelerate exploratory data analysis, reporting, and knowledge discovery.
+ Partner with engineering teams to operationalize models, embedding automation into core products and processes.
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