Boeing

Data & Cost Analyst / Applied Mathematician – Associate

Boeing

full-time

Posted on:

Location Type: Office

Location: Hazelwood • Alabama, California, Montana, Texas • 🇺🇸 United States

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Job Level

JuniorMid-Level

Tech Stack

ETLNumpyPandasPySparkPythonSQLTableau

About the role

  • Work with Boeing data systems (IRE, EAS, PMAS, CSPR, etc) to create databases and data tools and manage ETL processes
  • Understand how different data sources connect and link them for various data tool solutions
  • Leverage statistical software (JMP, R, etc.) to build analytical models and perform analyses
  • Develop analytical solutions for imperfect datasets and perform data normalization
  • Map data to common baselines to normalize and analyze cross-platform data
  • Leverage Artificial Intelligence (AI) and Large Language Models (LLMs) to power data analysis and estimating solutions
  • Influence colleagues and customers to use mathematical tools and processes
  • Code, test and maintain data tools and analytical models
  • Lead and support design of cost models, dashboards, metrics and reports to support cost analysis objectives
  • Independently determine and develop approaches to mathematically sound assessments in support of cost estimates and contribute to new principles and concepts

Requirements

  • 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, JMP
  • 1+ years of experience or graduate degree in databasing and data normalization, large language models (LLM), or running advanced statistical analysis on datasets
  • Experience working with Boeing data systems (IRE, EAS, PMAS, CSPR) and managing ETL processes
  • Experience leveraging statistical software such as JMP, R, and others to build analytical models
  • Experience developing analytical solutions for imperfect datasets and data normalization
  • Experience mapping data to common baselines to normalize and analyze cross platform data
  • Experience leveraging Artificial Intelligence (AI) and Large Language Models (LLMs) for data analysis
  • Coding, testing and maintaining data tools and analytical models
  • Experience designing cost models, dashboards, metrics and reports
  • Knowledge of advanced statistics: probability theory, distributions, descriptive statistics, matrix algebra, multivariate statistics, polynomial analysis, parametric and non-parametric methods
  • Experience in machine learning, language modeling, computer vision, time-series analysis, unsupervised clustering, optimization algorithms, multivariate analysis, stochastic models, sampling methods, or data mining
  • Experience with Application Programming Interface (API) design and application
  • Experience analyzing technical data and performing parametric estimates
  • Experience with estimating techniques and Cost Estimating Relationships (CER) development
  • Experience in defense industry (preferred)
  • Strong critical thinking skills and ability to communicate and present to leadership
  • Must meet export control compliance requirements: be a “U.S. Person” as defined by 22 C.F.R. §120.15 (U.S. Citizen, lawful permanent resident, refugee, or asylee)
  • Employer will not sponsor applicants for employment visa status
Benefits
  • Relocation based on candidate eligibility
  • Reasonable accommodations/adjustments to applicants with disabilities
  • Career growth across commercial airplanes, space, defense, sustainability and other areas

ATS Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythonPySparkRDatabricksDataikuTableauPandasNumPyETL
Soft skills
critical thinkingcommunicationpresentation
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