Job Description
Responsibilities
Develop and deploy machine learning models, optimization algorithms, and predictive analytics solutions for complex operational challenges.
Work with large-scale structured and unstructured datasets from IoT sensors, process systems, logistics platforms, and equipment telemetry.
Translate business needs into data science projects, from exploration to implementation.
Collaborate with engineering and IT teams to integrate models into decision-making systems and operational workflows.
Apply algorithmic thinking to address use cases such as dynamic scheduling, anomaly detection, resource allocation, and forecasting.
Present insights and recommendations to both technical and business stakeholders in a clear and actionable manner.
Skills
Bachelor's or Master's degree in Data Science, Computer Science, Applied Mathematics, Engineering, or a related field. PhD is a plus.
5+ years of practical experience in data science, ideally within industrial, man...
Develop and deploy machine learning models, optimization algorithms, and predictive analytics solutions for complex operational challenges.
Work with large-scale structured and unstructured datasets from IoT sensors, process systems, logistics platforms, and equipment telemetry.
Translate business needs into data science projects, from exploration to implementation.
Collaborate with engineering and IT teams to integrate models into decision-making systems and operational workflows.
Apply algorithmic thinking to address use cases such as dynamic scheduling, anomaly detection, resource allocation, and forecasting.
Present insights and recommendations to both technical and business stakeholders in a clear and actionable manner.
Skills
Bachelor's or Master's degree in Data Science, Computer Science, Applied Mathematics, Engineering, or a related field. PhD is a plus.
5+ years of practical experience in data science, ideally within industrial, man...