INTERMEDIATE DATA SCIENTIST – CELONIS (HYBRID)

INTERMEDIATE DATA SCIENTIST – CELONIS (HYBRID)

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INTERMEDIATE DATA SCIENTIST – CELONIS (HYBRID LISBON)

Portuguese company hires for hybrid position.

? Location: Lisbon, Portugal (Hybrid – 2/3 days per week
- site)

⚠ Only candidates already based in Portugal will be considered.

? Language Requirements: Fluent English | Portuguese and Spanish (Optional)

? Seniority: Up to 5 years of experience as a Data Scientist

? Sector: Energy

⚠ Instructions: Please send your CV in English and make sure to include all skills and experience that match the requirements of the opportunity. This will significantly increase your chances of success.

⚠ Important: Only candidates whose CVs clearly list all mandatory requirements will be evaluated.

About the Role

We are looking for an Intermediate Data Scientist with strong technical expertise and hands‑on experience in Celonis, capable of delivering high quality analytical solutions in a global and collaborative environment. The ideal candidate combines knowledge of machine learning, data engineering, and process mining with strong problem‑solving and communication skills.

Key Responsibilities

• Develop analytical models (regression, classification, clustering, ML over structured data).
• Write clean and efficient analytical code in Python or R.
• Prepare detailed business process reports using Celonis insights.
• Execute corrections, optimizations, and improvements on the Celonis platform.
• Conduct functional and technical analysis to onboard new processes into Celonis.
• Build and optimize data pipelines leveraging Azure Data Factory and Databricks.
• Ensure
  - quality, reliable deliverables aligned with business needs.

Must-Have Requirements

• Degree in Software Engineering, Computer Engineering, or similar.
• Up to 5 years of experience as a Data Scientist.
• Strong communication skills and ability to work in global teams.
• Solid analytical and problem‑solving skills.
• Proven experience developing machine learning models (Python, R or SAS).
• Experience deploying ML models to production and managing their life cycle.
• Knowledge of relational and No
  SQL databases.
• Excellent SQL proficiency.
• Celonis Certification (mandatory).
• Proven experience in Celonis implementations and platform usage.
• Experience building data pipelines using Azure Data Factory and Databricks.
• Fluency in English (written and spoken).

Nice to Have

• Knowledge of Energy & Utilities sector and GDPR.
• Experience with Agile methodologies, JIRA, and Confluence.
• Knowledge of Portuguese or Spanish.

Top Skills

• SQL (advanced)
• Celonis (certification + implementations)
• Python / R / SAS
• Process Mining
• Azure Data Factory
• Databricks
• ML Model Lifecycle Management
• No
  SQL & Relational Databases

Keywords to Include in Your CV

• Celonis
• Celonis Certification
• Process Mining
• Python
• R
• SQL
• Machine Learning
• Azure Data Factory
• Databricks
• Data Pipelines
• No
  SQL / Relational Databases
• Model Deployment
• ML Lifecycle
• Process Optimization