Key Responsibilities

Develop and optimize machine learning and statistical models for anomaly detection, predictive analytics, and process optimization.
Perform advanced data analysis, visualization, Bayesian modeling, and Monte Carlo simulations.
Implement real-time monitoring solutions for data streams and system performance.
Analyze large and complex datasets to identify trends, anomalies, and root causes.
Improve alert accuracy and reduce false positives through model tuning and threshold optimization.
Collaborate with cross-functional teams including product management, engineering, manufacturing, and IT to deliver scalable data solutions.
Apply data science and software engineering best practices for robust and reproducible model deployment.
Support data quality, security, and automated analytics pipelines.
Research and integrate emerging AI/Generative AI capabilities to improve operational efficiency and experi...