Data Scientist (Infrastructure Diagnostics)

Phaidra is building the future of industrial automation, creating AI-powered control systems for the industrial sector. As a Data Scientist, you will bridge raw infrastructure telemetry and actionable operational intelligence, utilizing data to diagnose complex anomalies and support data center operations.

Responsibilities:

• You will utilize our existing data ingestion and delivery platforms to "teach" our models to understand the physical world, filling a critical expertise gap in the data center industry
• Multidisciplinary Diagnostic Analysis: Use telemetry tools to analyze sensor data across mechanical (chillers, pumps) and electrical (UPS, switchgear, power feeds) systems to identify "failure signatures" for our LLM-driven monitoring tool
• Refining the Logic Engine: Act as a primary user of our platforms, identifying gaps in our current mechanisms and collaborating with Engineering to influence future features and data quality
• Operational Insight Generation: Translate raw telemetry into the "SME-level" logic and directions used by our LLM tool to guide data center operators in real-time
• SME Development: Cultivate deep domain expertise in all facets of data center infrastructure. You will be expected to master the nuances of both mechanical and electrical dependencies to ensure our product reflects operational reality
• Customer Guidance: Move from shadowing peers to directly supporting customers, using our platform to provide clear, data-backed direction on complex problems
• Model Validation: Oversee pilot projects to test how our AI-driven SME tool interprets real-world stressors, ensuring the output is operationally realistic, accurate, and actionable
• Adaptability: Remain agile and proactive. As a member of a fast-moving team, you will encounter challenges and scopes not explicitly defined here; we expect you to lean in and solve them