Data Scientist, Reliability Engineering

Job Summary

To enhance reliability outcomes in mission-critical systems, the full-time Data Scientist, Reliability Engineering will develop and deploy analytics, models, and scalable data products while collaborating with Reliability Engineering and Operations Engineering teams in a remote work setting.

Key Responsibilities

• 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