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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
Conflict of Interest:
Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.
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: $97,750 - $132,250
Applications for this position will be accepted until Jul. 30, 2026
Export Control Requirements:
This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
Export Control Details:
US based job, US Person required
Education
Bachelor's Degree or Equivalent Required
Relocation
Relocation assistance is not a negotiable benefit for this position.
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.
Skills Required
- Bachelor's degree in a quantitative field (statistics, operations research, information systems, computer science, mathematics, physics, chemistry, etc.)
- Experience with data modeling tools and techniques (SQL, Python, Spotfire, PySpark, RStudio, Databricks, Dataiku, Airflow, Streamsets, Tableau) and data normalization
- 1+ years designing and implementing Natural Language Processing (NLP) models using machine learning techniques including neural networks, deep learning, and transformer architectures
- Practical experience building ETLs, data pipelines, and handling unstructured data
- Authorization: Must be a U.S. Person as defined by 22 C.F.R. §120.62 (export control requirement)
- Ability to code, test, and maintain data tools and analytical models
- Experience leveraging LLMs and methods such as Retrieval Augmented Generation (RAG) for text processing and analysis
Boeing Compensation & Benefits Highlights
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Retirement Support — For most U.S. nonunion roles, the company matches 401(k) contributions with immediate vesting, and a student‑loan feature counts eligible payments toward earning the company match. Some union agreements also include robust retirement terms, combining a match up to a set percentage with an additional company contribution.
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Parental & Family Support — Paid parental leave is provided at full pay for birth, adoption, surrogacy, or foster placement, alongside adoption and surrogacy assistance. Family resources such as specialized health programs and backup child and elder care are available.
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Healthcare Strength — Coverage spans medical, dental, and vision plus mental‑health and specialty clinical programs (e.g., cancer support and centers of excellence), with many benefits beginning soon after hire. Virtual care, coaching, and access to licensed therapists are included.
Boeing Insights
What We Do
A leading global aerospace company and top U.S. exporter, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. Our U.S. and global workforce and supplier base drive innovation, economic opportunity, sustainability and community impact. Boeing is committed to fostering a culture based on our core values of safety, quality and integrity.
Why Work With Us
Aerospace protects and connects people, enables economic growth and trade, provides humanitarian relief and allows for human exploration of space. Boeing collaborates globally to support responsible growth for our industry, and we invest in innovation that improves the efficiency and sustainability of air travel and our operations.
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