About
Build statistical and machine learning models to detect degradation and anomalies in critical infrastructure data Design and maintain data pipelines for integrating various operational datasets and establish data quality standards Translate analytical findings into actionable insights and maintain dashboards for visibility into reliability risks
Required Qualifications
Bachelor's degree in Data Science, Statistics, Applied Math, Engineering, Computer Science, or a related field 4+ years of applied analytics/data science experience in operational or high-availability environments Proficiency in Python for data analysis/modeling and SQL for data extraction Demonstrated ability to work with noisy operational datasets and produce reliable insights Strong communication skills to explain models and results to engineering and operations audiences
Languages
- English
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