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BIM Data Science Engineer

Alstom (Thailand)
Alstom (Thailand) (Bangkok, Bangkok City, Thailand)
Bangkok, Thailand 🇹🇭
Alstom (Thailand)
Alstom commits to contribute to a low carbon future by developing and promoting innovative and sustainable transportation solutions that people enjoy riding. From high-speed trains, metros, monorails, trams, to turnkey systems, services, infrastructure, signalling and digital mobility, Alstom offers its diverse customers the broadest portfolio in the industry. With its presence in 64 countries and a talent base of over 84,700 people from 184 nationalities, the company focuses its design, innovation, and project management skills to where mobility solutions are needed most.

About this position

BIM-Data Sciences Engineer position integrates Building Information Modeling (BIM) with data science methodologies to optimize the design, construction, and management of infrastructure projects. This role bridges the gap between traditional engineering practices and advanced data analytics, enabling the effective use of data to drive decision-making, improve project efficiency, and enhance collaboration across disciplines.

Responsibilities

• Data Integration and Management:
• Combine and manage large datasets from various BIM and non-BIM sources to create a centralized, structured data environment.
• Ensure data quality, consistency, and accessibility for all project stakeholders.
• Process Optimization:
• Develop automated workflows and scripts to enhance the efficiency and accuracy of BIM processes.
• Use data science techniques to identify patterns, optimize resource allocation, and improve design and construction processes.
• Advanced Analytics and Reporting:
• Perform advanced data analysis and predictive modeling to support project planning and risk management.
• Create dashboards and visualizations to provide real-time insights into project performance and facilitate data-driven decision-making.
• Interoperability and Integration:
• Ensure seamless integration and interoperability between various BIM software and tools, as well as other project management and data platforms.
• Support the development and implementation of data exchange standards and best practices.
• Collaboration and Stakeholder Support:
• Act as a liaison between the engineering, data science, and project management teams to ensure that data solutions meet the needs of all stakeholders.
• Provide technical support and training to team members on BIM data management and analytics tools.
• Innovation and Continuous Improvement:
• Stay updated with the latest trends in BIM, data science, and technology to continuously improve processes and tools.
• Promote the adoption of innovative solutions and best practices across the organization.

Requirements

• Technical Skills:
• Programming and Automation:
• Proficiency in programming languages such as Python, C#, or VBA to automate BIM processes and manipulate data.
• Experience with BIM software APIs (Revit API, Dynamo, Rhino/Grasshopper).
• Data Science and Analysis:
• Skills in data analysis using tools like Pandas, NumPy, or R to analyze and interpret data from BIM models.
• Knowledge of machine learning for predictive analytics or pattern recognition in building data.
• Database Management:
• Experience with relational databases (SQL) and NoSQL databases (MongoDB) for storing and managing BIM data.