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6 дней назад

Data Scientist (AI)

195 000 - 222 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist (AI) (Fusion Energy): Developing data and knowledge foundations for fusion systems by transforming telemetry, experimental results, and engineering workflows into structured datasets, knowledge systems, and AI-enabled tools with an accent on operational analytics, ontologies, and applied AI. Focus on building anomaly-detection and decision-support systems, evaluating statistical and AI models, and integrating diverse data sources into analytics-ready pipelines.

Location: On-site in Everett, Washington, United States

Salary: $195,000–$222,000 per year

Company

hirify.global is a fusion power company developing the Polaris prototype and working toward building the Orion fusion power plant for clean, reliable electricity.

What you will do

  • Analyze real-time and historical system data to support control room operations, root-cause analysis, and performance improvement.
  • Develop data schemas, ontologies, and metadata frameworks for complex technical information.
  • Prototype decision-support tools for anomaly detection, experiment comparison, and operational reporting.
  • Define metrics and evaluation frameworks for statistical models and AI solutions.
  • Collaborate with software engineering and data science teams on AI-powered retrieval, summarization, and anomaly-analysis workflows.
  • Help evolve data pipelines that integrate diverse operational and experimental sources into analytics-ready datasets.

Requirements

  • 7+ years of experience applying statistics, data science, and quantitative methods to complex hardware, physics, or engineering data.
  • Experience with operational, experimental, and time-series data analysis for identifying trends, diagnosing hardware behavior, and uncovering anomalies.
  • Proficiency in Python and modern data science tooling.
  • Experience building data pipelines, analytics infrastructure, or production data systems.
  • Experience developing data models, schemas, metadata frameworks, or ontologies.
  • Familiarity with LLM APIs, RAG, embeddings, semantic search, and AI-powered workflow automation.

Culture & Benefits

  • On-site work with collaboration across engineering, science, operations, software engineering, and data science.
  • Medical, dental, and vision plans for employees and families.
  • 31 days of paid time off, 10 paid holidays, and a company-wide winter break.
  • Up to 5% employer 401(k) match, disability coverage, and life insurance.
  • Paid parental leave of up to 16 weeks and an annual wellness stipend.

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