Expert Data Scientist - EHS

Key Responsibilities

• EHS Data Analytics and Insights 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.
• EHS Data Strategy 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.
• EHS AI Strategy Development and Implementation Support the development of an EHS AI strategy aligned to business priorities, risk management needs, digital transformation objectives, available resourcing
• 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.
• Stakeholder Engagement and Change Support 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.
• Required Qualifications : 10+ years of experience in data science, analytics, or applied data solutions
• experience in EHS, safety, environmental compliance, risk management, operations, or a regulated industry strongly preferred 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 Preferred Qualifications : 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
• 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
• actionable dashboards Bachelor’s degree in data science, Statistics, Computer Science, Industrial Engineering, Mathematics, Environmental Science
• a related field Conflict of Interest: Successful candidate for this job must satisfy the company's Conflict of Interest (COI) assessment process.
• Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP
• alcohol when criteria is met as outlined in our policies.
• Total Rewards: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.
• Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
• The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs
• a number of programs that provide for both paid and unpaid time away from work.
• The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
• Pay is based upon candidate experience and qualifications, as well as market and business considerations.
• Summary pay range: $218,450 - $295,550 Language Requirements: Not Applicable Education: Not Applicable Relocation: Relocation assistance is not a negotiable benefit for this position.
• Export Control Requirement: This is not an Export Control position.
• Safety Sensitive: This is not a Safety Sensitive Position.
• Security Clearance: This position does not require a Security Clearance.
• Visa Sponsorship: Employer will not sponsor applicants for employment visa status.
• Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud!
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• Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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