The Boeing Company
LeadArtificialIntelligence/MachineLearningDataScientist(DataScience)
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“Lead Artificial Intelligence /Machine Learning Data Scientist (Data Science) at The Boeing Company. Skills: Artificial Intelligence, Machine Learning, Data Science, Natural Language Processing. Evaluate business objectives. Collaborate in user research”
Industry & Context.
Data-driven decision making
U.S. Person required
What They're Looking For.
Must Have
10+ years analytics and data science experience, 10+ years machine learning methods experience, 5+ years NLP model design and implementation, 5+ years large language and generative AI models research and application
Nice to Have
Master's degree in data science, Agentic AI solutions development and implementation experience, Supply chain domain experience, Agile and product-oriented development experience, Building ML models to production experience, Cloud computing environment ML model training experience, Programming in C, C++, Java, Python, or Scala, Statistical software and database languages experience, Advanced statistics experience
What You'll Do.
Evaluate business objectives
Collaborate in user research
Understand process nuances
Determine stakeholder needs
Identify requirements
Champion AI cause with stakeholder groups
Educate and excite sponsors
Choose best fit methods
Build AI solutions iteratively
Experiment creatively
Evoke trust in the process
Perform data preparation
Interface with senior business leaders
Architect advanced analytics solutions
Lead development of advanced analytics solutions
Ensure functional excellence
Provide technical leadership
Provide training to data scientist community
Accelerate talent base
Provide thought leadership
Engage with stakeholders across business
Identify applications across enterprise
Lead implementation of applications
Capture business value
Evaluate technologies
Assist in identifying capability gaps
Develop best practices
Develop technology standards
global data scientists
Ensure analytics solutions meet business requirements
Implement analytics solutions
Validate business value
Work with cross-functional teams
Analyze complex data sets
Identify modeling attributes
Identify modeling parameters
Follow best practices for model validation
Follow standard processes for model validation
Assess performance of models
Assess performance of analysis
Confirm business objectives were met
Develop analytics solutions with stakeholders
Sustain analytics solutions with stakeholders
How You'll Work.
Team & Collaboration
Cross-functional teams; Technical leads; Data scientist community
Full Job Description
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 Scientist** **to 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. 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 on 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, stay up-to-date on the latest trends in the AI domain (including Agentic AI, Natural Language Processing, Deep Learning, Conversational AI, and Computer Vision), to join our team in this lead data scientist role. **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 ne
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