Associate Data and Cost Modeling Analyst - Government Estimating

Associate Data And Cost Modeling Analyst
- Government Estimating

The Boeing Company is seeking an Associate Data and Cost Modeling Analyst
- Government Estimating to join the Analytics & Data Intelligence team in Hazelwood, MO.

This challenging role will support development of AI-powered estimating tools, cost model development, and data collection, organization, and analysis, particularly working with unstructured data.

Our ideal candidate is a curious, collaborative problem-solver who communicates clearly and prioritizes the team; they bring hands-on experience in AI, machine learning, algorithmic problem-solving techniques, and statistical modeling to develop analytical solutions. They have practical experience with data analysis, normalization and standardization, building ETLs and data pipelines and tools, and handling unstructured data.

Position Responsibilities:

• Work with Boeing data systems (IRE, EAS, PMAS, CSPR, etc.) to create databases and data tools, understanding how our different data sources connect to link them for various data tool solutions, managing the ETL process
• Develop analytical solutions for imperfect datasets
• Work with and understand datasets from a variety of programs/platforms and systems;
  Data normalization
• Map data to common baselines to normalize and analyze cross platform data
• Leverage Large Language Models (LLMs) to process and analyze text data.
• Implement methods such as Retrieval Augmented Generation (RAG) to improve upon the performance of LLMs
• Leverage Artificial Intelligence (AI) methods, such as neural networks, classifiers, and decision trees, specifically, to power data analysis and solutions for estimating
• Code, test, and maintain data tools and analytical models
• Support in the design of parametric cost models, dashboards, metrics and reports utilizing standard technologies and statistical computation methodologies that support cost analysis objectives

Basic Qualifications (Required Skill/Experience):

• Bachelor's degree or higher in a quantitative field (e.g. statistics, operations research, information systems, bioinformatics, economics, computational biology, computer science, mathematics, physics, chemistry or similar quantitative fields)
• Experience with data modeling tools (e.g. SQL, Python, Spotfire, PySpark, RStudio, Databricks, Dataiku, Airflow, Streamsets, Tableau), data modeling techniques, and/or data normalization
• 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 Qualifications (Desired Skills/Experience):

• Proven experience analyzing large datasets and presenting actionable insights to leadership
• Experience with statistical analysis and advanced methods (probability theory/distribution, multivariate analysis, parametric/non-parametric models, algorithmic computational methods, etc.)
• Proficiency with statistical software, programming languages, and databases
• Experience with Application Programming Interface (API) design and application
• Experience with AI concepts / Machine Learning (ML): particularly LLMs (including prompt engineering). Natural Language Processing (NLP), clustering, optimization, and applications in time series analysis, stochastic models, and data mining
• Strong technical data analysis background and defense industry experience