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Data Scientist
Celonis
Bengaluru, IND
Full-time
Hybrid
Discovered 1 weeks ago
Statistical modelingMachine learningFoundation models, RAG, agents, and evaluationsData analysis and analytic investigationsData visualizationSQL
Free
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Statistical modelingMachine learningFoundation models, RAG, agents, and evaluations
Role Overview
The Data Analytics and Transformation team includes Data Engineering, Semantics, Data Science, Strategic Intelligence, and Business Transformation functions.
The team collects and interprets data about user journeys, product telemetry, incidents, infrastructure utilization, sales motions, and other business areas.
The Data Scientist develops and communicates data-driven insights for strategic and tactical decision-making in a high-growth environment.
The role includes statistical and machine learning models, experimentation, foundation models, visualizations, and stakeholder discussions.
Key Skills for This Role
Statistical modelingMachine learningFoundation models, RAG, agents, and evaluationsData analysis and analytic investigationsData visualizationSQL
Full Job Posting
About Celonis
Celonis provides an enterprise AI platform powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence.
The company helps organizations analyze, design, and operate AI-driven processes.
The Team and Role
The Data Analytics and Transformation team includes Data Engineering, Semantics, Data Science, Strategic Intelligence, and Business Transformation functions.
The team collects and interprets data about user journeys, product telemetry, incidents, infrastructure utilization, sales motions, and other business areas.
The Data Scientist develops and communicates data-driven insights for strategic and tactical decision-making in a high-growth environment.
The role includes statistical and machine learning models, experimentation, foundation models, visualizations, and stakeholder discussions.
The Work You’ll Do
- Develop data-driven insights and decision-making applications for internal use, with a special focus on operational processes.
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