Senior Data Scientist - Energy / Commodities - Geneva We are recruiting a Senior Data Scientist to work as part of a central data science team. Our client is widely regarded as 'best in class' in the Data Science / AI space.
The Role:
Unlock the power of data to analyze the energy industry.
Collaborate with the Crude trading business to identify AI/DS opportunities that add value.
Explore new datasets, extract insights, and visualize findings.
Lead the design, development, and deployment of machine learning systems to solve real problems.
Share knowledge and help develop data and machine learning expertise within the organization.
Qualifications:
Master's degree in Computer Science, Data Science, Machine Learning, or a related field; Ph.D. is a plus.
Proficiency in Python, with the ability to write clean, modular, and well-documented code.
3-5+ years of industry experience developing and deploying machine learning models.
Experience exploring and extracting insights from heterogeneous, multi-dimensional datasets.
Background in vessel tracking / GIS.
Knowledge of time series modeling, including machine learning and econometric approaches.
Familiarity with cloud platforms (AWS) and containerization technologies (Docker).
Additional Details:
Seniority level: Mid-Senior level
Employment type: Full-time
Job functions: Finance, Information Technology, Research
Industries: Oil and Gas, Financial Services, Investment Management
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