remoteonsite
Data Science & AI Specialist - Industrial Analytics - ABB
Data Scientist
Lead advanced analytics for industrial processes, building AI models and data pipelines in Python and cloud environments to optimize performance and drive digital transformation.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models to predict equipment performance and process anomalies in large-scale industrial settings.
- Build and maintain end-to-end data pipelines using Python, SQL, and cloud services (AWS/GCP) to ingest, clean, and transform sensor and operational data.
- Collaborate with cross‑functional teams to translate business requirements into analytical solutions and actionable insights.
- Implement real‑time dashboards and visualizations to monitor key performance indicators and support decision‑making.
- Conduct exploratory data analysis, feature engineering, and model validation to ensure robust, scalable solutions.
Requirements
- Strong programming skills in Python and experience with ML libraries such as scikit‑learn, TensorFlow, or PyTorch.
- Proven track record of deploying models to cloud platforms (AWS, GCP, or Azure) and managing data pipelines.
- Solid understanding of industrial IoT concepts, sensor data, and process control systems.
- Experience with SQL, data warehousing, and data visualization tools (Tableau, Power BI, or similar).
- Excellent communication skills and ability to work collaboratively in a multidisciplinary environment.
Skills
pythonmachine learningdata analysissql