Data Scientist

• Conceptualizing and specifying solution requirements together with business stakeholders
• Formalizing tasks and researching different approaches to solve it
• Design and develop machine learning applications and algorithms
• Build and optimize machine learning pipelines
• Mathematical background: statistics and understanding of classical machine learning algorithms
• Experience in software development in Python
• Machine learning stack ( Num Py, Pandas, Scikit-Learn, Pytorch)
• Web application stack ( Fastapi/Flask)
• Strong ability to communicate abstract concepts to both technical and non-technical stakeholders.

• Familiarity with geospatial data
• Data engineering experience
• Experience with Azure cloud services (blob storage, functions, ml pipelines)
• Challenging tasks require strong problem-solving skills.

• Experience in the maritime industry, particularly in port operations or maritime logistics, is highly advantageous.
• Knowledge of supply chain and logistics practices is also beneficial.