Expert Data Scientist - EHS

Boeing

Remote

Quick summary

Work type
Remote
Location
Renton, WA
Salary
$218,450–$295,550 / yr
Posted
2 days ago
Closes
Jul 2, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $163k
This role $257k
$92k most similar roles pay here $317k

This role pays more than 97% of similar roles. Most pay $126,800–$200,000 — the shaded band above. At the midpoint, this role pays about $257k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About Boeing

Boeing is the world''s largest aerospace company and leading manufacturer of commercial jetliners, military aircraft, defense systems, and space launch vehicles for customers in 150 countries. Industry: Aerospace & Defense Manufacturing

Boeing currently has 120 open roles on FindRole.

Listed pay typically runs $119,850–$162,150 across 119 roles with salary data.

Most-posted roles

View all roles at Boeing

At a glance

TL;DR · Expert Data Scientist - EHS

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The Boeing Company's Environment, Health, and Safety organization in Renton or Everett seeks an Expert Data Scientist to lead the development of advanced analytics models and AI/ML strategies. This senior role involves partnering with EHS leaders and IT teams to transform complex safety data into actionable insights for risk management and proactive decision-making. Key responsibilities include developing predictive analytics solutions, creating standardized metrics, and implementing scalable AI use cases such as anomaly detection and natural language processing. The ideal candidate has over 10 years of experience in data science, proficiency in Python, R, SQL, and data visualization tools like Power BI or Tableau, and a strong background in EHS data domains and responsible AI principles.

Skills

Python R SQL Power BI Tableau AI/ML NLP Anomaly Detection Classification Clustering Time-Series Forecasting Data Visualization Predictive Modeling Data Governance Data Quality Data Lineage Data Integration Responsible AI Model Interpretability CI/CD

What you'll do

  • Develop and maintain advanced analytics models for EHS performance monitoring.
  • Analyze complex datasets to identify patterns, leading indicators, and risk drivers.
  • Lead the creation of standardized EHS metrics and reporting frameworks.
  • Contribute to the development of an enterprise EHS data strategy.
  • Identify and prioritize AI/ML use cases for predictive risk detection and anomaly detection.
  • Guide pilot development and implementation planning for AI-enabled EHS solutions.
  • Serve as a trusted advisor on analytics, data-driven risk management, and AI opportunities.

What we're looking for

  • 10+ years of experience in data science, analytics, or applied data solutions
  • Proficient in Python, R, SQL, and data visualization tools like Power BI or Tableau
  • Experience with large, complex datasets and EHS-related data domains
  • Expertise in developing AI/ML solutions for enterprise environments
  • Knowledge of responsible AI principles and model interpretability frameworks
  • Strong project management skills and ability to communicate technical findings effectively

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