Senior Data Scientist

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful, and inclusive, with great opportunities for professional growth. Find your future with us.

We are currently seeking a Senior Data Scientist to join the team in Dallas, TX
. The role will play a lead role in developing and building next‑generation Artificial Intelligence (AI) and Machine Learning (ML) products and services, working with cross‑functional teams to define, deploy, and evaluate analytics solutions that meet business goals.

• Evaluate business objectives, determine stakeholder needs, and identify requirements
• Choose best fit methods, define algorithms, validate, and deploy models to achieve business results
• Perform necessary data preparation and enhancements to models
• Interface directly with senior business leaders and stakeholders to architect and lead the development of advanced analytics solutions supporting Aircraft operations, Engineering, Manufacturing, Quality, and Safety
• Work with data‑scientist leads across domains to ensure functional excellence, providing mentoring, technical leadership, and training to the data‑scientist community
• Provide thought leadership for machine learning and advanced analytics methods at Boeing and externally
• Engage with stakeholders across the business to identify applications across the enterprise beyond the initial use case, and lead the implementation to capture business value
• Evaluate technologies, assist in identifying capability gaps, develop and teach best practices and technology standards, and collaborate with the global data‑science and technical leads in the Analytics organization
• Ensure analytics solutions meet the business requirements and are implemented in a timely manner to validate business value
• Work effectively with cross‑functional teams in the analysis of highly complex data sets using advanced analytics techniques such as machine learning, advanced statistical analysis, visual analysis, text analysis, mathematical optimization, and simulation
• Identify modeling attributes and parameters
• Follow best practices and standard processes for model validation and refinement as per business requirements
• Assess performance of models and analysis and confirm that business objectives were met
• Work with business unit stakeholders to develop and sustain analytics solutions

• 5+ years of experience working with projects, teams, and/or leaders in the analytics and/or data‑science space
• 5+ years of experience researching and applying large language and generative AI models
• 5+ years of experience with various machine‑learning methods such as regression, clustering, classification, decision trees, natural language processing, ensemble methods, support vector machines (SVM), deep learning, reinforcement learning, etc.
• 5+ years of experience designing and implementing Natural Language Processing (NLP) models using machine‑learning techniques including neural networks, deep learning, and transformer architectures

• Bachelor’s degree or equivalent work or military experience
• Master’s degree in data science or equivalent
• Experience in supply chain domain
• Experience in agile and product‑oriented development
• Experience building ML models and bringing them into full production use within the industry
• Experience training machine‑learning models in a cloud computing environment such as AWS, GCP, Azure, etc.
• Experience programming in one or more of the following: C, C++, Java, Python, Scala
• Experience with statistical software (e.g., R, MATLAB) and database languages (e.g., SQL)
• Experience in advanced statistics (e.g., probability theory and distributions, descriptive statistics, matrix algebra, multivariate statistics, polynomial analysis, parametric and non‑parametric methods, etc.)

Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process.

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