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 opportunity for professional growth. Find your future with us.

The Boeing Company is currently seeking a Senior Data Scientist to join the team in Dallas, TX
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The Boeing Company is looking for an experienced data scientist who can play lead role in developing and building next generation Artificial Intelligence (AI) and Machine Learning (ML) products and services.

This position will work effectively with cross‑functional teams and technical leads to determining, defining, and deploying analytics solutions to meet business goals.

At Boeing, we are already making a difference across the industry using AI and ML to deliver superior product experience to our internal functions and commercial and government customers. We are expanding and growing in all areas in the frontier of the aerospace industry. We already have some of the best minds and talent in this field, and we’re looking for someone with applied experience in AI and ML (including Natural Language Processing, Deep Learning, Conversational AI, and Computer Vision) to join our team in this lead data scientist role.

• 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 in this technical field and will provide mentoring, technical leadership, and training to the data scientist community to accelerate and develop this talent base

• 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 of these applications to capture business value

• Evaluate technologies, assist in identifying capabilities gaps, develop and teach best practices and technology standards, and work alongside the rest of the global data scientists and technical leads in 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

• Experie…