Senior Data Scientist – Commodity Markets

Jobtailor; Karlsruhe; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

Jobtailor in Karlsruhe is seeking a software engineer to maintain and enhance Python (Dash) applications that bring data science models closer to decision making.

You will collaborate with analysts to build quantitative market models, deploy containerized services on AWS, and communicate complex insights across teams. A strong focus on clean code, testing, and documentation is essential.

Qualifikationen

• 3–5 years of practical software engineering experience, preferably in markets.
• Excellent Python skills and Dash experience.
• Experience with version control in multi-developer projects.
• Experience designing and managing containerized apps and familiarity with cloud platforms (AWS).
• Data handling and data modeling with relational databases (PostgreSQL).

Aufgaben

• Maintain and enhance Python (Dash) applications.
• Drive and support R&D and operation of data-driven analytical market models with analysts.
• Explain models and insights to market experts and translate domain knowledge into models.
• Drive maintenance and improvements of code base and backend architectures.
• Develop, test, and roll out new features per product owner priority.
• Manage operational models and live services (monitoring, refactoring).
• Review and debug code and ensure good documentation.
• Enable fast prototyping and demos to improve inter-team communication.
• Expand knowledge by learning new techniques and applying them to analytics problems.

Kenntnisse

Python

Dash

Data analysis

AWS

PostgreSQL

Git

Communication

Tools

Docker

Kubernetes

Git

Jobbeschreibung

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