Senior Data Scientist (PT or Europe Based)

• Lead and mentor Data Science teams, ensuring technical excellence, timely delivery, and alignment with project goals.
  
• Define solution architectures, modeling strategies, and delivery roadmaps for complex AI/ML initiatives.
  
• Leverage data and domain knowledge to design and drive impactful business solutions.
  
• Work closely with cross-functional stakeholders to clarify problem statements, gather requirements, and translate them into actionable technical plans.
  
• Oversee the development of optimization models, experimentation frameworks, forecasting algorithms, and capacity-planning models.
  
• Ensure robust deployment, monitoring, and governance of ML solutions following industry-standard MLOps practices.
  
• Review and validate code, models, and architectures produced by the team.
  
• Communicate insights, recommendations, and technical decisions to executives, product teams, and clients.
  

Requirements

• Degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or a related analytical field.
  
• Strong expertise in Python and experience with PySpark/Spark MLlib.
  
• Experience with Generative AI, LangChain, RAG (Retrieval Augmented Generation), LLM production deployments, and Agentic AI architectures.
  
• Experience with OCR and document intelligence workflows.
  
• Solid understanding of NLP, text analytics, and unstructured data processing.
  
• Deep knowledge of ML architectures and MLOps-oriented lifecycles (CI/CD for ML, model versioning, monitoring, retraining pipelines).
  
• Hands-on experience with NumPy, SciPy, Pandas, Scikit-learn, Matplotlib, TensorFlow/PyTorch.
  
• 5+ years of professional experience in Data Science, including leading or mentoring technical teams.
  
• Experience with Java, Scala, or Spark in production environments.
  
• Proven track record of leading data science projects end-to-end with MLOps best practices.
  
• Computer Vision experience, in image pre-processing and analysis.
  

• 2+ years of experience with SQL.
  
• Knowledge of distributed/cloud environments: AWS, Azure, GCP, Cloudera.
  
• Understanding of Data Governance frameworks.
  
• Experience with Azure Document Intelligence.
  

• Ability to adapt to different contexts, teams, and Clients;
  
• Teamwork skills but also a sense of autonomy;
  
• Motivation for international projects and ok if travel is included;
  
• Willingness to collaborate with other players;
  
• Strong communication skills.