Associate Data and Cost Modeling Analyst - Government Estimating

Boeing • Hazelwood, MO

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About The Position

The Boeing Company is seeking an Associate Data and Cost Modeling Analyst to join its Analytics & Data Intelligence team in Hazelwood, Missouri. The role supports the development of AI-powered estimating tools, cost models, and the collection, organization, and analysis of data, particularly unstructured data. The analyst will use data, statistical modeling, artificial intelligence, and machine learning to develop analytical solutions for government estimating.

Requirements

• Bachelor’s degree or higher in a quantitative field, such as statistics, operations research, information systems, bioinformatics, economics, computational biology, computer science, mathematics, physics, or chemistry.
• Experience with data modeling tools such as SQL, Python, Spotfire, PySpark, RStudio, Databricks, Dataiku, Airflow, Streamsets, or Tableau; data modeling techniques; and/or data normalization.
• At least 1 year of experience designing and implementing Natural Language Processing (NLP) models using machine learning techniques, including neural networks, deep learning, and transformer architectures.

Nice To Haves

• Experience analyzing large datasets and presenting actionable insights to leadership.
• Experience with statistical analysis and advanced methods, such as probability theory and distributions, multivariate analysis, parametric and non-parametric models, and algorithmic computational methods.
• Experience with statistical software, programming languages, and databases.
• Experience with Application Programming Interface (API) design and application.
• Experience with AI and machine learning concepts, particularly LLMs and prompt engineering, NLP, clustering, optimization, and applications in time series analysis, stochastic models, and data mining.
• Strong technical data analysis background and defense industry experience.

Responsibilities

• Work with Boeing data systems, including IRE, EAS, PMAS, and CSPR, to create databases and data tools, understand relationships among data sources, link data for tool solutions, and manage ETL processes.
• Develop analytical solutions for imperfect datasets.
• Work with datasets from a variety of programs, platforms, and systems, including normalizing data.
• Map data to common baselines to normalize and analyze cross-platform data.
• Use large language models (LLMs) to process and analyze text data, including implementing methods such as Retrieval Augmented Generation (RAG) to improve LLM performance.
• Use AI methods such as neural networks, classifiers, and decision trees to support data analysis and estimating solutions.
• Code, test, and maintain data tools and analytical models.
• Support the design of parametric cost models, dashboards, metrics, and reports using standard technologies and statistical computation methodologies to support cost analysis objectives.

Benefits

• Competitive base pay and variable compensation opportunities.
• Eligible employees may enroll in benefit programs that generally include health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance, and programs providing paid and unpaid time away from work.
• Relocation assistance based on candidate eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level