Lead Artificial Intelligence /Machine Learning Data Scientist (Data Science)
Company:The Boeing Company
The Boeing Company is currently seeking a
Lead Artificial Intelligence/Machine Learning Data Scientistto join the team in
Seattle, WA or
Dallas, TX.
The Boeing Company is looking for an experienced data scientist who can play lead role in brainstorming new Artificial Intelligence (AI) solutions, provide thought leadership in the AI products domain, develop and deploy 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 determine, define, and deploy analytics solutions to meet business goals.
Position Responsibilities: - Evaluate business objectives, collaborate in user research, understand process nuances, determine stakeholder needs, and identify requirements
- Champion the AI cause with stakeholder groups, educate and excite sponsors about possibilities offered by the data science discipline
- Choose best fit methods, define algorithms, validate, and deploy models to achieve business results
- Build AI solutions iteratively, in short cycles to enable a fail-fast, rapid learning environment. Be ready to experiment creatively and evoke trust in the process for partner teams and stakeholders
- 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, Supply Chain, Manufacturing, Quality, and Safety
- Work with data scientists 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 the 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 capability 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
Basic Qualifications (Required Skills/Experience): - 10+ years of experience working with projects, teams, and/or leaders in the analytics and data science space
- 10+ 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 in designing and implementing Natural Language Processing (NLP) models using machine learning techniques including neural networks, deep learning and transformer architectures
- 5+ years of experience researching and applying large language and generative AI models
Preferred Qualifications (Desired Skills/Experience): - Master's degree in data science or equivalent
- Experience developing and implementing end-to-end Agentic AI solutions
- Experience in supply chain domain
- Experience in agile and product-oriented development
- Experience in building ML models and bringing them to full production use within the industry
- Experience training machine learning models in a cloud computing environment such as: Amazon Web Services, Google Cloud Platform, Microsoft Azure
- Experience programming in one or more of the following: C, C++, Java, Python, Scala
- Experience with statistical software 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.)
Conflict of Interest: Successful candidates 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, and alcohol when criteria are met as outlined in our policies.
Pay & Benefits: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, and 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:This position offers relocation based on candidate eligibility.
Export Control Requirement:This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. a7120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
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 ProgramThis position is not contingent upon program award
Shift:Shift 1 (United States of America)
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