Phaidra
Tech / AI / Software
DataScientist(InfrastructureDiagnostics)
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“Data Scientist (Infrastructure Diagnostics) at Phaidra. Skills: Data ingestion and delivery platforms, reinforcement learning algorithms, AI-powered control systems, configure AI control systems without writing code, Deep understanding of AI and how to apply it in production. teach our models to understand the physical world. analyze sensor data across mechanical (chillers, pumps) and electrical (UPS, switchgear, power feeds) systems to identify 'failure signatures'”
Industry & Context.
Analytical Grit: A deep, innate interest in using data to diagnose how and why systems fail; Unbiased Problem-Solving: A proven ability to look at a problem without preconceived notions and figure out solutions either independently or via team collaboration; complex anomalies without bias to uncover true root causes
U. S. -based team member (Pacific Time Zone preferred), flexibility to work hours that overlap with APAC time zones as needed, Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire.
What They're Looking For.
Must Have
2–3 years of professional relevant experience, Bachelor's degree in Mechanical Engineering, Electrical Engineering, Control Theory, or a related field that provides a foundation in physical systems and thermodynamics, Python skills, experience with data manipulation libraries (Pandas/NumPy), Ability to explain complex diagnostic findings clearly and persuasively to both technical peers and non-domain stakeholders, A proven ability to look at a problem without preconceived notions and figure out solutions either independently or via team collaboration
Nice to Have
functional, customer immersion, and development training, flexibility to work hours that overlap with APAC time zones as needed
What You'll Do.
teach our models to understand the physical world
analyze sensor data across mechanical (chillers
pumps) and electrical (UPS
power feeds) systems to identify 'failure signatures'
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
Translate raw telemetry into the 'SME-level' logic and directions used by our LLM tool to guide data center operators in real-time
Cultivate deep domain expertise in all facets of data center infrastructure
Oversee pilot projects to test how our AI-driven SME tool interprets real-world stressors
How You'll Work.
Team & Collaboration
collaborating with Engineering to influence future features and data quality; treating your peers as fellow experts; team collaboration
Communication Scope
Communication Mastery: Ability to explain complex diagnostic findings clearly and persuasively to both technical peers and non-domain stakeholders; truth-teller who uses thorough, compassionate communication to persuade others and drive impact
Full Job Description
About Phaidra Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically: We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions. We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning. We enable domain experts (our users) to configure the AI control systems (i. e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact. Phaidra’s ability to achieve its mission is determined by our ability to work together — as defined by our core values: Transparency, Collaboration, Operational Excellence, Ownership, and Empathy. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, U
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