Data Scientist-Artificial Intelligence

Overview

Design, develop, and optimize end-to-end process mining solutions using the Celonis EMS platform. Analyze business processes, build scalable data models, develop dashboards and automation workflows, and collaborate with stakeholders to improve operational efficiency through process insights.

Job Description

Design and develop end-to-end process mining solutions using Celonis EMS platform 

Build and optimize data models (PQL, Data Model Editor) for large-scale enterprise datasets 

Extract, transform, and load (ETL) data from multiple source systems (SAP, Oracle, SQL, etc.) 

Analyze business processes to identify bottlenecks, inefficiencies, and root causes 

Develop interactive dashboards, KPIs, and analytical views in Celonis Studio 

Implement process conformance checks and deviation analysis

Design and deploy action flows, alerts, and automation use cases 

Collaborate with business stakeholders to translate requirements into process mining use cases 

Ensure data quality, governance, and consistency across process models 

Integrate Celonis with external systems (APIs, Power BI, etc.) for extended analytics 

Optimize performance of data pipelines and dashboards 

Document process models, KPIs, and implementation architecture 

Participate in code reviews

Skills & Requirements

Celonis EMS, Process Mining, PQL, Data Model Editor, ETL, SAP, Oracle, SQL, Data Modeling, Process Analysis, Root Cause Analysis, Process Conformance, Deviation Analysis, Celonis Studio, Dashboard Development, KPI Development, Action Flows, Process Automation, API Integration, Power BI, Data Governance, Data Quality, Data Pipelines, Performance Optimization, Business Process Optimization, Documentation, Code Review, Stakeholder Management

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