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Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Company is seeking an **Associate Data and Cost Systems Analyst - Government Estimating** to join the Estimating Data & Analytics team at **one of our major Boeing sites** .

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.

Our ideal candidate:

+ Is a curious, collaborative problem-solver with clear communication and a team-first mindset

+ Has hands-on experience with data analysis and normalization; building ETLs (Extract, Transform, Load), data pipelines, tools, etc.

+ Familiar with AI techniques and statistical modeling for developing analytical solutions

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 contributes 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 in one of the following areas: databasing and data normalization, large language models (LLM), or running advanced statistical analysis on datasets or related graduate degree

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, etc.) and developing CERs/cost models and parametric estimates

+ Proficiency with statistical software, programming languages, and databases,

+ Experience with Application Programming Interface (API) design and application

+ Experience with Machine Learning (ML)/AI concepts: 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

+ Excellent communication, critical thinking, and quantitative problem‑solving skills

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary Pay Range: $85,000 - $115,000

Applications for this position will be accepted until **Oct. 14, 2025**

**Export Control Requirements:** 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.

**Export Control Details:** US based job, US Person required

Education

Bachelor's Degree or Equivalent Required

Relocation

This position offers relocation based on candidate eligibility.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.