Senior Data Scientist – Hardware Systems

About Helion

Role overview

Responsibilities

• Analyze real-time and historical data to provide control-room insights, improve decisions, and accelerate root-cause and performance analysis.
• Create data schemas, ontologies, and metadata frameworks for complex technical information.
• Prototype tools for anomaly detection, experiment comparison, and operational reporting.
• Define evaluation metrics for statistical models and AI solutions.
• Build and evaluate AI workflows for retrieval, summarization, and anomaly analysis.
• Maintain data pipelines that integrate diverse sources into analytics-ready datasets.

Required qualifications

• At least 7 years applying statistics, data science, and quantitative methods to complex hardware, physics, or engineering data.
• Proficiency in Python and modern data science tooling; experience building data pipelines, analytics infrastructure, or production data systems.
• Experience with data models, schemas, metadata frameworks, or ontologies.
• Ability to turn ambiguous problems into practical, scalable solutions and work effectively with engineers and scientists.
• Familiarity with LLM APIs and applied AI techniques such as RAG, embeddings, semantic search, and workflow automation.

Preferred experience

• Experience analyzing operational, experimental, and time-series data to identify trends, diagnose hardware behavior, uncover anomalies, and inform engineering decisions is preferred.

Workplace

• This is an onsite role at Helion’s Everett, Washington office and reports to the R&D Manager.

Benefits

• Benefits include medical, dental, and vision plans; 31 days of paid time off; 10 paid holidays and a company-wide winter break; and up to a 5% 401(k) match.
• Additional benefits include disability and life insurance, paid parental leave of up to 16 weeks, and an annual wellness stipend.

Compensation

• The stated compensation range is $195,000 to $222,000 per year.