onsite
Data Scientist Contract6 month - Employe Hub
Data Scientist
Data Scientist (Contract) focused on building and deploying ML models for cement plant process optimization, predictive maintenance, and quality improvement using high‑frequency sensor data and energy‑efficiency metrics.
About the role
Key Responsibilities
- Design, train, and validate machine‑learning models for kiln, pyro‑process, grinding, and separator control to reduce energy consumption and improve product quality.
- Develop predictive maintenance solutions for critical rotating equipment, leveraging high‑frequency sensor streams and time‑series analytics.
- Collaborate with process, operations, and reliability teams to translate model outputs into actionable insights and finance‑validated savings.
- Deploy models into production environments, ensuring robust monitoring, version control, and continuous improvement.
- Communicate results to cross‑functional stakeholders, translating technical findings into business impact.
Requirements
- Proven experience in Python and machine‑learning frameworks (scikit‑learn, TensorFlow, PyTorch).
- Strong background in time‑series analysis and predictive maintenance for industrial equipment.
- Hands‑on experience with high‑frequency sensor data and process‑control systems.
- Ability to translate complex data insights into clear, actionable recommendations.
- Excellent communication skills and a collaborative mindset.
Skills
pythonmachine learning