Associate Data and Cost Modeling Analyst - Government Estimating

Boeing • Hazelwood, MO

3d • $97,750 - $132,250 • Onsite

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 development of AI-powered estimating tools, cost models, and data collection, organization, and analysis, with particular emphasis on unstructured data.

The analyst works with Boeing data systems and datasets from multiple programs, platforms, and systems to build databases and data tools, connect and normalize data sources, and manage ETL processes. The role develops analytical solutions for imperfect datasets and uses large language models, retrieval-augmented generation, and other AI and machine-learning methods to support estimating analysis.

The position also involves coding, testing, and maintaining data tools and analytical models, and supporting the design of parametric cost models, dashboards, metrics, and reports using standard technologies and statistical computation methodologies. The role is based in Hazelwood, MO, and offers relocation subject to candidate eligibility. It is a first-shift position and does not require a security clearance. Candidates must meet U.S. export control requirements as a U.S. Person. Boeing will not sponsor employment visas.

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, chemistry, or a similar quantitative field.
• 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.
• Must meet U.S. export control compliance requirements as a U.S. Person.
• Must satisfy the Company’s Conflict of Interest assessment process.

Nice To Haves

• Experience analyzing large datasets and presenting actionable insights to leadership.
• Experience with statistical analysis and advanced methods, including 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, connect data sources, and manage the ETL process.
• Develop analytical solutions for imperfect datasets.
• Work with datasets from a variety of programs, platforms, and systems, including data normalization.
• Map data to common baselines to normalize and analyze cross-platform data.
• Use large language models (LLMs) to process and analyze text data.
• Implement methods such as Retrieval Augmented Generation (RAG) to improve LLM performance.
• Use AI methods such as neural networks, classifiers, and decision trees to power 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 generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance, and paid and unpaid time away from work.
• Relocation based on candidate eligibility.

What This Job Offers

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