Senior Data Scientist – Commodity Markets

Das ist der Job

AWS) Data handling and data modeling knowledge and experience using relational databases (e.g.

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Responsibilities Maintain and enhance applications in Python (Dash) to put the “human in the loop” with Data Science models Drive and support R&D and operation of data-driven analytical market models: Together with our analysts and market experts, you will co-develop strong quantitative market models to predict key market variables drawing from a wide variety of techniques; guide and support others in the development of models, implement new models as well as model enhancements, such as driving cloud-based model and process automation Engage with internal market experts to explain our models and insights and to discuss the market structure and key drivers - translating domain knowledge back into our models and building a deep understanding of operations and decision making in our markets Drive maintenance and improvements of the code base and code structure for operational models and backend data architectures Develop, test, and roll out new application functionality and change requests following product owner prioritization Manage operational models & applications (monitoring, refactoring, update of live services) Review and debug code and ensure good code documentation Enable efficient communication across teams through fast prototyping and demos of potential solutions Expand your knowledge, by learning new techniques and applying them to existing and new analytical problems in our markets.

Actively share knowledge and innovation areas with your peers Requirements Minimum of 3 to 5 years of practical experience as a software engineer, preferably in the context of markets and market prices Excellent Python skills and experience with Python packages for applications (such as Dash) Professional use of version control tools in projects involving several developers Experience with designing and managing containerized applications and familiarity with cloud platforms (e.g.

PostgreSQL) Holistic perspective on business value from analytics and a strong ability to explain complex topics to diverse stakeholders at the appropriate level, strong communication and engagement Preferably previous exposure to Data Analytics or Data Science and an interest in working on analytics and forecasting projects heavily reliant on human / machine collaboration #J-18808-Ljbffr