Associate Data and Cost Modeling Analyst - Government Estimating

Posted 9 Hours Ago
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Hazelwood, MO, USA
Hybrid
98K-132K Annually
Junior
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
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The Role
Develop AI-powered government estimating tools, cost models, data pipelines, and analytical solutions. Responsibilities include integrating Boeing data systems, normalizing imperfect and unstructured datasets, applying NLP, LLMs, RAG, neural networks, and statistical methods, and building dashboards, metrics, reports, and maintainable analytical models. The role also supports parametric cost modeling and communicates actionable insights to leadership.
Summary Generated by Built In
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 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):
  • 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.)
  • Experience 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 (DFW) 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 Nov. 25, 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
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.
#BI-Hybrid

Skills Required

  • Bachelor's degree or higher in a quantitative field such as statistics, operations research, information systems, economics, computer science, mathematics, physics, chemistry, or a similar field
  • Experience with data modeling tools such as SQL, Python, Spotfire, PySpark, RStudio, Databricks, Dataiku, Airflow, StreamSets, or Tableau
  • Experience with data modeling techniques and/or data normalization
  • At least 1 year of experience designing and implementing Natural Language Processing models using machine learning techniques, including neural networks, deep learning, and transformer architectures
  • Experience analyzing large datasets and presenting actionable insights to leadership
  • Experience with statistical analysis and advanced statistical methods
  • Experience with statistical software, programming languages, and databases
  • Experience with API design and application
  • Experience with AI and machine learning concepts, including LLMs, prompt engineering, NLP, clustering, optimization, time series analysis, stochastic models, and data mining
  • Strong technical data analysis background and defense industry experience
  • Must satisfy Boeing's Conflict of Interest assessment process
  • Must meet U.S. export control requirements as a U.S. Person

What the Team is Saying

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Boeing Compensation & Benefits Highlights

  • Retirement Support — Boeing says most nonunion employees receive a dollar-for-dollar 401(k) match up to 10% of pay with immediate vesting. Eligible employees may also qualify for a student-loan-related 401(k) match feature.
  • Healthcare Strength — Medical offerings include preventive care, doctor visits, hospital care, prescription drugs, and behavioral health services, alongside dental, vision, disability, and basic life insurance. This breadth is consistently described across Boeing’s published benefits materials.
  • Parental & Family Support — Eligible employees are offered 12 weeks of fully paid parental leave. Adoption and surrogacy assistance are also described, subject to program limits and eligibility rules.

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The Company
HQ: Arlington, VA
170,000 Employees
Year Founded: 1916

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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