Data & Cost Analyst/Applied Mathematician (Associate)

Company:

The Boeing Company

The Boeing Company - Government Estimating, is seeking a Data & Cost Analyst/Applied Mathematician (Associate) to join the Estimating Data & Analytics team. This challenging role will support development of AI-powered estimating tools, parametric cost estimates, Cost Estimating Relationships (CERs), cost model development, and data collection, organization, and analysis.

Position 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
• Influences colleagues and customers to use mathematical tools and processes
• 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
• Independently determines and develops approaches to mathematically sound assessments in support of cost estimates, and contribute to the development of new principles and concepts

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 at least one of the following data modeling tools: SQL, Python, PySpark, R/RStudio, Databricks, Dataiku, Tableau, Pandas, NumPy
• 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

Preferred Qualifications (Desired Skills/Experience):

• 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 in one or more of the following: machine learning, language modeling, computer vision, time-series analysis, unsupervised clustering, algorithmic foundations of optimization, multivariate analysis, stochastic models, sampling methods, or data mining
• Experience with Artificial Intelligence (AI) technologies, particularly Large Language Models (LLMs) which could include prompt engineering
• Knowledge of Natural Language Processing (NLP) fundamentals
• Experience with Application Programming Interface (API) design and application
• Experience analyzing technical data
• Experience performing parametric estimates
• Experience in defense industry
• Experience communicating and presenting leadership
• Strong critical thinking skills

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

This position offers relocation based on candidate eligibility.

Export Control Requirement:

This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

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