Senior Data Scientist

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The Boeing Company is currently seeking a Senior Data Scientist to join the team in Dallas, TX. This position will work effectively with cross‑functional teams and technical leads to determine, define, and deploy analytics solutions to 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 advanced analytics solutions supporting aircraft operations, engineering, manufacturing, quality, and safety.
• Work with data scientist leads across domains to ensure functional excellence and provide 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 and lead implementation to capture business value.
• Evaluate technologies, identify capability gaps, develop best practices and technology standards, and collaborate with global data scientists and technical leads in Analytics.
• Ensure analytics solutions meet business requirements and are implemented timely to validate business value.
• Analyze highly complex data sets using advanced techniques such as machine learning, statistical analysis, visual analysis, text analysis, optimization, and simulation.
• Identify modeling attributes and parameters.
• Follow best practices and standard processes for model validation and refinement.
• Assess performance of models and analysis to confirm 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 the supply chain domain.
• Experience in agile and product‑oriented development.
• Experience building ML models and deploying them into production within an industry setting.
• Experience training machine learning models in a cloud computing environment such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure.
• 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).

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

Boeing is a Drug Free Workplace where post‑offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria are met as outlined in our policies.

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 specific programs and options available to any given employee may vary depending on eligibility…