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Role Overview We are looking for a Senior Data Scientist to design build and deploy advanced machine learning models for industrial applications The role will focus on transforming complex operational sensor production and process data into reliable predictive and prescriptive solutions that improve efficiency quality safety and decisionmaking The ideal candidate has robust experience in applied machine learning statistical modeling industrial data and productiongrade model development Key Responsibilities Develop validate and deploy machine learning models for industrial use cases such as predictive maintenance process optimization anomaly detection quality prediction demand forecasting and asset performance monitoring Work with largescale structured and timeseries data from industrial systems sensors machines production lines and operational platforms Collaborate with engineers domain experts product teams and business stakeholders to identify highvalue machine learning opportunities Translate industrial challenges into data science problems and deliver practical scalable solutions Build robust data pipelines feature engineering workflows and model evaluation frameworks Monitor model performance in production and support continuous improvement of deployed models Communicate model insights assumptions limitations and business impact clearly to technical and nontechnical stakeholders Required Qualifications Masters or PhD in Data Science Computer Science Statistics Mathematics or a related field Strong qualified experience as a Data Scientist Machine Learning Engineer or similar role Proven experience building machine learning models for realworld productionoriented use cases Solid knowledge of supervised and unsupervised learning timeseries modeling anomaly detection optimization and statistical analysis Experience working with industrial manufacturing energy logistics process .