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 (hands-on IC)
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, Spark, Hadoop, AWS, Azure, Google Cloud, Power BI, Tableau
Responsibilities
Develop and implement machine learning and AI models for prediction and optimization; Design and execute advanced statistical analyses on large datasets; Build and optimize data pipelines for ingestion, cleaning, and transformation; 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 data visualizations and 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