Boeing · 11 hours ago
Mid-Level Engineering Data Scientist
USA - Oklahoma City, OK
Full-time
Onsite
Entry, Mid Level
$95K/yr - $147K/yr
2+ years expThe Boeing Company is a leader in aerospace innovation, and they are seeking a Mid-Level Engineering Data Scientist to join their Global Services Engineering team. The role involves performing complex analysis of aviation data to improve aircraft health management and deploying machine learning models to enhance services for military customers.
AerospaceIndustrial
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Apply advanced statistical techniques and predictive modeling to develop predictive maintenance strategies and optimize aircraft performance
Utilize natural language processing, data cleansing, and preprocessing techniques to ensure data quality and integrity for accurate analysis and modeling
Apply modern RAG techniques to generate domain-specific insights from complex customer data, enhancing decision-making and user experience
Collaborate with cross-functional teams to identify and define data requirements
Implement and deploy machine learning models into production systems, working closely with software engineering teams to integrate into customer environments
Collaborate with subject matter experts to understand engineering domain knowledge and incorporate it into data analysis and modeling efforts
Ensure data security and compliance with relevant regulations throughout the data analysis lifecycle
Communicate findings, insights, and recommendations to technical and non-technical stakeholders through clear and concise reports, presentations, and visualizations
Qualification
Required
Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
2+ years of professional experience in data science, artificial intelligence, or machine learning
2+ years of experience in Python for data science applications
Preferred
Advanced degree (Master's or Doctorate) in Data Science, Engineering, Computer Science, Mathematics, or another similar technical background
5+ years of related work experience or an equivalent combination of education and experience
2+ years of experience in natural language processing
2+ years of experience in SQL
Proficient with data visualization tools, such as Tableau
Proficient in deep learning frameworks such as PyTorch and TensorFlow
Experience with generative AI models, including LLMs and RAG, for building knowledge-driven solutions
Engineering domain knowledge relating to aircraft maintenance, design, or testing
Experience working in an agile software development team
Benefits
Health insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life and disability insurance programs
Programs that provide for both paid and unpaid time away from work
Company
Boeing
Boeing offers commercial, defense airplanes, space, security systems, and global services.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
CJ Nothum
CEO & Executive Communications, Senior Manager
Colton Engelke
CEO and Executive Communications
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