Senior Data Scientist at Ball Corporation developing software solutions for supply chain data analytics. Engaging in design, development, and maintenance of data-driven applications within a hybrid work environment.
Responsibilities
Design and development of software-based solutions related to Data and Analytics in the context of global Supply Chain Planning and Execution.
Examples: data pipeline automation, report automation, analytical dashboards, and small data-entry applications.
Maintain existing (legacy) solutions, providing fixes and enhancements as required.
Understand key processes and data flows across different business units, developing solutions aligned with their needs.
Maintain close contact with the Global IT Data Services (GDS) team, ensuring alignment with corporate standards.
Propose improvements to team processes to increase the robustness of deliverables and identify solutions for challenging scenarios.
Serve as a technical reference within the team, supporting colleagues through code reviews, mentoring, and knowledge transfer.
Identify opportunities to improve software architecture, code quality, and delivery processes to ensure sustainable growth.
Requirements
Bachelor's degree in Technology, Engineering, Software Development, or a related field
Experience in software development, data analysis, or data science
English: Professional
Python: Advanced
SQL: Advanced
Power BI: Advanced
VBA: Intermediate
Version Control (Git): Intermediate
Microsoft Office: Intermediate
Agile Development Methodologies: Intermediate
ETL and large-volume data handling
Knowledge of Statistics and Machine Learning
Dynamic, results-oriented profile with a strong problem-solving focus
Good communication skills and ability to work in a team
Strong analytical and problem-solving skills with attention to code quality and system robustness
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