On-Site Senior Data Scientist, Fusion & AI Insights

U.S. Fusion Energy; Energy (IL); On-site; USD 195,000 - 222,000; Full time

Benefits offered by this job

Medical, Dental, and Vision

PTO 31 days

10 paid holidays

401(k) match

Disability insurance

Parental leave

Wellness stipend

Job summary

Helion, a fusion energy company based in Everett, WA, is hiring for a data-focused role in our Research & Development department. The position involves transforming experimental and operational data into structured datasets, supporting engineers and scientists, and building AI-enabled tooling.

This onsite role reports to the R&D Manager in Everett. The ideal candidate has 7+ years in statistics/data science with Python, data pipelines, and experience with ontologies and LLM APIs.

Qualifications

• 7+ years of experience applying statistics, data science, and quantitative methods to complex hardware, physics, or engineering data.
• Experience analyzing operational, experimental, and time-series data to identify trends, diagnose hardware behavior, uncover anomalies, and inform engineering decisions.
• Ability to translate ambiguous problems into practical, scalable solutions and partner effectively with engineers and scientists.
• Proficiency in Python and modern data science tooling, with experience building data pipelines, analytics infrastructure, or production data systems.
• Experience developing structured representations of information, including data models, schemas, metadata frameworks, or ontologies.
• Familiarity with LLM APIs and applied AI techniques such as RAG, embeddings, semantic search, and AI-powered workflow automation.

Responsibilities

• Analyze real-time and historical system data to provide control room operators with actionable insights, improve operational decision-making, and accelerate root-cause and performance analysis.
• Develop data schemas, ontologies, and metadata frameworks to organize and standardize complex technical information.
• Prototype decision-support tools for anomaly detection, experiment comparison, and operational reporting.
• Define metrics and evaluation frameworks to ensure effectiveness, reliability, and business impact of statistical models and AI solutions.
• Collaborate with the enterprise software engineering team to build and evaluate AI-powered workflows, including retrieval, summarization, and anomaly analysis systems using operational data.
• Partner across Software Engineering and Data Science teams to evolve and maintain data pipelines that transform and integrate diverse data sources into analytics-ready datasets.

Skills

Statistics

Python

Data pipelines

Ontologies

LLM APIs

Anomaly detection

Team collaboration

Job description

Helion, a fusion energy company based in Everett, WA, is hiring for a data-focused role in our Research & Development department. The position involves transforming experimental and operational data into structured datasets, supporting engineers and scientists, and building AI-enabled tooling.

This onsite role reports to the R&D Manager in Everett. The ideal candidate has 7+ years in statistics/data science with Python, data pipelines, and experience with ontologies and LLM APIs.