Senior Data Scientist – Fusion Systems
About The Position
Helion is 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. 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.
Requirements
- 7+ years of experience in data science, statistics, machine learning, or a related quantitative field, especially within a hardware, physics, or engineering environment
- Experience working with complex operational, experimental, and time-series data to generate insights, detect anomalies, and inform engineering decisions
- 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
- Ability to translate ambiguous problems into practical, scalable solutions and partner effectively with engineers and scientists
Responsibilities
- Analyze experimental and operational data to identify trends, characterize system performance, and generate actionable insights
- Develop data schemas, ontologies, and metadata frameworks to organize and standardize complex technical information
- Design and maintain data pipelines that transform and integrate diverse data sources into analytics-ready datasets
- Build and evaluate AI-powered workflows, including retrieval, summarization, and anomaly analysis systems using operational data
- 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
Benefits
- 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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
