Data Scientist Technician
Core
Develop and implement advanced AI and machine learning solutions to extract value from data, optimize processes, and improve decision-making across business areas.
Role type
Data Scientist Technician
Builds
Production ML models and data pipelines for business optimization
Domain
Regenerative infrastructure and sustainability
Deliverable
production ML models
Required skills
Python, R, TensorFlow, PyTorch, Scikit-learn, SQL, Spark, Hadoop, AWS, Azure, Google Cloud, Power BI, Tableau
Preferred skills
Master's or Postgraduate degree in Data Science, AI, or Analytics
Technologies
TensorFlow, PyTorch, Scikit-learn, SQL, Spark, Hadoop, AWS, Azure, Google Cloud, Power BI, Tableau
Responsibilities
Develop and implement machine learning models for prediction and optimization; Design and execute advanced statistical analyses on large datasets; Build and optimize data ingestion, cleaning, and transformation pipelines; Apply advanced AI techniques on unstructured data (NLP, computer vision, deep learning); Evaluate model performance using metrics and validation techniques; Collaborate on model industrialization and deployment in production environments; Generate actionable insights and communicate results via visualizations and data storytelling; Ensure adherence to data science best practices including documentation and reproducibility; Contribute to AI innovation by incorporating new methodologies.
Seniority
Mid-level, hands-on IC