Data Scientist (Infrastructure Diagnostics)

As a Data Scientist on the Infrastructure Diagnostics team, you will:

• Use telemetry tools to analyze sensor data across mechanical and electrical systems to identify failure signatures for LLM-driven monitoring tools
• Translate raw telemetry into SME-level logic and directions used by LLM tools to guide data center operators in real-time
• Cultivate deep domain expertise in all facets of data center infrastructure, mastering mechanical and electrical dependencies
• Oversee pilot projects to test how AI-driven SME tools interpret real-world stressors, ensuring output is operationally realistic and actionable

This role creates positive change by developing AI-powered control systems that enable industrial facilities to automatically learn and improve over time, reducing energy consumption and improving operational efficiency in critical infrastructure like data centers.

Key qualifications for this role include:

• Bachelor's degree in Mechanical Engineering, Electrical Engineering, Control Theory, or related field with foundation in physical systems and thermodynamics
• Strong Python skills and experience with data manipulation libraries (Pandas/NumPy) for custom analysis
• Deep interest in using data to diagnose how and why systems fail, with analytical grit and tinkering mindset
• Ability to explain complex diagnostic findings clearly to both technical peers and non-domain stakeholders

Benefits and perks include:

• Competitive compensation with meaningful equity
• Medical, dental, and vision insurance (varies by region)
• Unlimited paid time off with required minimum of 20 days per year
• Paid parental leave (varies by region)
• Flexible stipends for workspace, well-being, and professional development
• Company MacBook
• 100% remote work environment
• Fast-paced, team-oriented environment with outsized responsibilities

Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time using reinforcement learning algorithms to convert raw sensor data into high-value actions and decisions.