Expert Data Scientist - EHS

Boeing•Renton, WA

2d•$218,450 - $295,550•Onsite

About The Position

Boeing Commercial Airplanes (BCA) is looking for an Expert Data Scientist to join our Environment, Health, and Safety (EHS) organization. This role focuses on advancing EHS data analytics, high-risk prioritization metrics, and the development and implementation of an EHS Artificial Intelligence (AI) and Machine Learning (ML) strategy. The role will partner closely with EHS leaders, Manufacturing and Safety Data Analytics, the Information Digital Technology & Security (IDT&S) organization, and other stakeholders to transform complex safety and environmental data into actionable insights that improve risk identification, enable proactive decision-making, and support engagement and efficiency across the enterprise. The successful candidate will help shape and execute a scalable EHS data strategy, develop advanced analytics solutions, and lead to the identification and deployment of AI-enabled use cases that strengthen risk management and safety and environmental excellence in both production and virtual environments.

Requirements

10+ years of experience in data science, analytics, or applied data solutions
10+ years of proficiency in Python, R, SQL, or equivalent analytics tools
Experience with data visualization tools such as Power BI, Tableau, or similar platforms
Experience working with large, complex, and potentially disparate datasets

Nice To Haves

Experience in EHS, safety, environmental compliance, risk management, operations, or a regulated industry strongly preferred
Experience developing or implementing AI/ML solutions in an enterprise environment
Familiarity with EHS data domains such as incidents, hazards, corrective actions, audits, exposure monitoring, training, inspections, and regulatory compliance
Experience with natural language processing, anomaly detection, classification, clustering, or time-series forecasting
Knowledge of responsible AI principles, model interpretability, and governance frameworks.
Strong understanding of data strategy concepts, including governance, quality, lineage, and integration
Ability to communicate technical findings to business stakeholders and influence decision-making
Strong project management skills with the ability to prioritize multiple workstreams
Demonstrated ability to develop predictive models, scoring methodologies, and actionable dashboards
Bachelor’s degree in data science, Statistics, Computer Science, Industrial Engineering, Mathematics, Environmental Science, or a related field

Responsibilities

Partner with the BCA Manufacturing and Safety team to develop and maintain advanced analytics models and dashboards to support EHS performance monitoring, trend analysis, and predictive insights.
Analyze incident, audit, inspection, training, exposure, and other EHS-related datasets to identify patterns, leading indicators, and risk drivers.
Translate complex data into clear, actionable, proactive recommendations for business and EHS leaders.
Lead the sustainment and creation of standardized EHS metrics, data definitions, and reporting frameworks across business units and functions, including high-risk prioritization metrics.
Contribute to the development and execution of the enterprise EHS data strategy, including governance, data quality, taxonomy, integration, and accessibility.
Partner with the EHS Systems team to align critical data sources and opportunities to improve data completeness, accuracy, consistency, and usability.
Collaborate with ITD&S team to establish reliable pipelines, scalable architecture, and sustainable analytics solutions.
Help define data standards and business rules that enable harmonized EHS reporting and analysis.
Support the development of an EHS AI strategy aligned to business priorities, risk management needs, digital transformation objectives, available resourcing, and information security requirements.
Identify, evaluate, and prioritize AI/ML use cases such as predictive risk detection, anomaly detection, natural language processing of incident narratives, inspection intelligence, and recommendation engines.
Lead or guide pilot development, proof-of-concepts, model validation, and implementation planning for AI-enabled EHS solutions.
Lead a team of EHS and other business stakeholders passionate about AI and with IDT&S to move AI concepts from exploration to deployment and adoption.
Ensure responsible, ethical, and explainable use of AI in alignment with governance, and compliance requirements and, and an EHS/Sustainability perspective.
Serve as a trusted advisor to EHS and business leaders on analytics, data-driven risk management, and AI opportunities.
Present findings and recommendations to technical and non-technical audiences with clarity and influence.
Support change management, user adoption, and training efforts for new analytics tools, metrics, and AI-enabled capabilities.
Build strong cross-functional relationships to ensure analytics outputs are embedded into operational processes and decision-making.