Senior Data Scientist

Key Responsibilities

• Design, develop, and evaluate machine learning models for real-time industrial applications 
• Own the end-to-end modeling pipeline, including problem formulation, data preparation, feature engineering, model development, evaluation, deployment, and post-production monitoring 
• Translate ambiguous production challenges into well-defined data science problems 
• Lead feature engineering and data exploration on complex sensor and control datasets 
• Define KPIs, evaluation frameworks, and experimentation strategies 
• Ensure model robustness over time, including monitoring, drift detection, and continuous improvement 
• Work closely with data and research engineers to bring models into production 
• Drive best practices in modeling, validation, and reproducibility 
• Communicate insights, trade-offs, and recommendations clearly to stakeholders