Boeing · 23 hours ago
Data Scientist (Associate or Experienced)
USA - Everett, WA
Full-time
Onsite
Entry, Mid, Senior Level
$109K/yr - $147K/yr
1+ years expThe Boeing Company is seeking a Data Scientist to join their Airplane Systems Integration team in Everett, WA. This role involves developing and building next-generation AI and ML products, collaborating with cross-functional teams to deploy analytics solutions that meet business goals.
AerospaceIndustrial
No H1B
Responsibilities
Analyze large-scale time-series and tabular datasets to extract meaningful insights and identify actionable opportunities
Develop and implement advanced statistical models, machine learning algorithms, and forecasting techniques to predict future trends and outcomes
Design and execute experiments to evaluate model performance, validate hypotheses, and optimize algorithms for accuracy and efficiency
Collaborate with stakeholders to define business requirements, prioritize analytical projects, and translate findings into actionable recommendations
Build and maintain robust data pipelines and automated workflows to streamline data collection, preprocessing, and analysis processes
Perform necessary data preparation and enhancements to models
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
Communicate complex technical concepts and analytical findings to non-technical stakeholders through clear and concise presentations, reports, and visualizations
Stay abreast of the latest developments in data science, machine learning, and statistical techniques, and evaluate their potential impact on business objectives
Contribute to technical documentation
Qualification
Required
Bachelor's of science degree or higher from an accredited course of study in data science, machine learning, applied statistics, mathematics, computer science, or engineering
1+ years of experience working with projects, teams, and/or leaders in the analytics and/or data science space
1+ years of experience researching and applying large language and generative AI models
1+ 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
1+ years of experience in designing and implementing Natural Language Processing (NLP) models using machine learning techniques including neural networks, deep learning and transformer architectures
Preferred
Master's or Ph.D. degree in Engineering, Computer Science, or Math etc
Preferably experiences in Data processing and database programming skills, such as SQL or NoSQL
Strong understanding of statistical concepts, hypothesis testing, regression analysis, time-series modeling, and machine learning algorithms
Solid understanding of database systems, SQL, and data manipulation techniques for extracting, transforming, and loading (ETL) data
Experience supporting an AI or ML development team
Proficiency in programming languages such as Python, and experience with libraries/frameworks such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch
Level 2: 3 or more years' related work experience or an equivalent combination of education and experience
Level 3: 5 or more years' related work experience or an equivalent combination of education and experience
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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