INTERMEDIATE DATA SCIENTIST – CELONIS (HYBRID)

INTERMEDIATE DATA SCIENTIST – CELONIS (HYBRID LISBON)

Portuguese company hires for hybrid position

📍 Location: Lisbon, Portugal (Hybrid – 2/3 days per week on-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 high-quality, reliable deliverables aligned with business needs.
  
  

✅ Must-Have Requirements

(⚠️ Must be clearly listed in your CV)

• 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 NoSQL 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
• NoSQL & Relational Databases
  
  

📌 Keywords to Include in Your CV

• Celonis
• Celonis Certification
• Process Mining
• Python
• R
• SQL
• Machine Learning
• Azure Data Factory
• Databricks
• Data Pipelines
• NoSQL / Relational Databases
• Model Deployment
• ML Lifecycle
• Process Optimization
  
  

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