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The Boeing Company is seeking a Data & Cost Analyst/Applied Mathematician to support development of AI-powered estimating tools, parametric cost estimates, Cost Estimating Relationships (CERs), cost model development, and data collection, organization, and analysis.

Requirements

• Experience with at least one of the following data modeling tools: SQL, Python, PySpark, R/RStudio, Databricks, Dataiku, Tableau, Pandas, NumPy
• Experience in running statistical analysis of large datasets, drawing conclusions from analyses, and presenting same
• Experience in statistical data analysis with statistical software
• Experience with estimating techniques and relationships used in practical applications (e.g. cost models, cost estimating relationships)
• Experience with statistical software, programming languages and/or databases for the purposes of Cost Estimate Relationship (CER) development and other analysis
• Knowledge of advanced statistics such as probability theory and distributions, descriptive statistics, matrix algebra, multivariate statistics, polynomial analysis, parametric and non-parametric methods
• Experience with Artificial Intelligence (AI) technologies, particularly Large Language Models (LLMs) which could include prompt engineering

Responsibilities

• Working 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
• Leveraging statistical software such as JMP, R, and others to build out analytical models and perform analyses
• Developing analytical solutions for imperfect datasets
• Data normalization, working with and understanding datasets from a variety of programs/platforms and systems. Mapping data to common baselines to normalize and analyze cross platform data
• Leverage Artificial Intelligence (AI) and Large Language Models (LLMs), specifically, to power data analysis and solutions for estimating
• Codes, tests and maintains data tools and analytical models
• Lead and support in the design of cost models, dashboards, metrics and reports utilizing standard technologies and methodologies that support cost analysis objectives

Other

• 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)
• 1+ years of experience or graduate degree in one of the following areas: databasing and data normalization, large language models (LLM), or running advanced statistical analysis on datasets
• Strong critical thinking skills
• Experience communicating and presenting leadership
• Employer will not sponsor applicants for employment visa status