Senior Data Scientist / U

We are seeking a Senior Data Scientist to join our team and take ownership of analytics and predictive modeling activities for an industrial sector client. The project focuses on applying Data Science and Machine Learning to analyze and optimize production processes. You will work with production, process, sensor, and time-series data to develop practical ML solutions that support process optimization, quality and scrap prediction, anomaly detection, and predictive maintenance. Main responsibilities: Develop and deploy predictive models using Python and practical ML techniques. Work with production, process, sensor, and time-series data to derive actionable insights. Focus on process optimization, quality/scrap prediction, anomaly detection, and predictive maintenance. Independently own analytics and modeling work, ensuring high-quality deliverables. Communicate findings and recommendations clearly to customer stakeholders in professional English. Must have requirements: Process Industry Experience: Proven track record of applying ML to heavy/continuous manufacturing industries (e.g., pulp & paper, steel/metals, chemicals, refining, glass, or pharmaceuticals). Industrial Sensor & Time-Series Data: Demonstrated experience working with high-frequency, noisy historian/SCADA/telemetry feeds, sensor drift, missing data, and continuous time-series feature engineering. Core Predictive Use Cases: Hands-on experience developing and deploying models for at least two of the foll