Senior Data Scientist – Hardware Systems

Helion; Everett (WA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

PTO 31 days

Holidays

401(k) match

Parental leave

Wellness stipend

Job summary

Helion in Everett, WA is seeking a senior Data Scientist to build the data and knowledge foundation for fusion systems. You will transform complex experimental and operational data into structured datasets and AI-enabled tools that empower engineers to analyze and decision-make at scale.

You will partner with engineers, scientists, and operators to create data pipelines, ontologies, and decision-support capabilities, including retrieval, summarization, and anomaly analysis, reporting to the R&D

Qualifications

• 7+ years with statistics, data science on hardware/engineering data.
• Experience with time-series data to detect trends and anomalies.
• Proficiency in Python and building data pipelines.

Responsibilities

• Analyze real-time and historical system data for control room insights.
• Develop data schemas, ontologies, and metadata frameworks.
• Prototype decision-support tools for anomaly detection.
• Define metrics for evaluating statistical models and AI solutions.
• Collaborate on AI-powered workflows with software engineers.
• Evolve data pipelines across teams to integrate diverse data sources.

Skills

Statistics

Data science

Time-series analysis

Python

Data pipelines

Ontology / data modeling

LLM APIs & AI

Tools

RAG & embeddings

Semantic search

Analytics tooling

Production data systems

Job description

About Helion

We are a fusion power company based in Everett, WA, with the mission to build the world's first fusion power plant, enabling a future with unlimited clean electricity. Our vision is a world with clean, reliable, and affordable energy for everyone.

Since Helion's founding in 2013, we have raised $1.5 billion from long-time investors such as Sam Altman, Mithril, and Capricorn Investment Group as well as new investors including Thrive Capital, LightSpeed Venture Capital, SoftBank, and others to propel us forward. Our current prototype, Polaris, has reached record-breaking plasma temperatures of 150 million degrees Celsius (13 keV). Helion is continuing to iterate and on the path to the world's first fusion power plant, Orion.

This is a pivotal time to join Helion. You will tackle real-world challenges with a team that prizes urgency, rigor, ownership, and a commitment to delivering hard truths – values essential to achieving what no one has before. Together, we will change the future of energy, because the world can't wait.

What You Will Be Doing:

You will be responsible for developing the data and knowledge foundation that enables engineers to understand, operate, and improve Helion’s fusion systems. In this role, you will partner closely with engineers, scientists, and operators to transform complex experimental and operational data (including machine telemetry, experimental results, and engineering workflows) into structured datasets, knowledge systems, and AI-enabled tools that support analysis and decision-making. You will combine data science, knowledge modeling, and applied AI techniques to make fragmented, rapidly evolving information accessible and actionable at scale. This is an onsite role that reports directly to our R&D Manager at our Everett, WA office.

You Will:

• 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

Required Skills:

• 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 is preferred
• 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

Benefits

Our total compensation package includes benefits, including but not limited to:

• Medical, Dental, and Vision plans for employees and their families
• 31 Days of PTO (21 vacation days and 10 sick days)
• 10 Paid holidays, plus company-wide winter break
• Up to 5% employer 401(k) match
• Short term disability, long term disability, and life insurance
• Paid parental leave and support (up to 16 weeks)
• Annual wellness stipend

Helion is an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need assistance or an accommodation during the interview process, please let us know.