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Assistant Machine Learning Quant Jobs in Missouri

... quantitative field * 3+ years of progressively complex data science experience * Extensive experience developing and deploying state-of-the-art algorithms using machine learning, statistical and ...

... 5+ years of quantitative analysis experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition ...

... 5+ years of quantitative analysis experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition ...

In this role, you will leverage advanced analytics, machine learning, and large-scale data to ... Requirements: * 7+ years of experience in data science, quantitative modeling, analytics, or ...

$17.10 - $29.09/hr

Scheduled Hours 15 Position Summary Research Assistant will train machine learning models to ... Trains and tests machine learning models that analyze images and procedural metadata (e.g ...

AI Engineer III

Carthage, MO · On-site

$48.75 - $65.50/hr

... maintain machine learning, generative AI, and AI-enabled application solutions for business use cases. * Develop LLM-powered applications such as copilots, chatbots, knowledge assistants ...

Develop and deploy predictive models, machine learning solutions, and AI capabilities to drive ... Master's or PhD in a quantitative field such as Data Science, Statistics, Computer Science, or ...

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Assistant Machine Learning Quant information

What are Assistant Machine Learning Quants?

Assistant Machine Learning Quants are entry-level professionals in quantitative finance who support senior quants by applying machine learning techniques to analyze financial data, build predictive models, and develop trading strategies. Their responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They work closely with quantitative researchers and traders to improve algorithmic trading systems and risk management processes. This role typically requires strong programming skills, a solid understanding of machine learning concepts, and familiarity with financial markets.

How does an Assistant Machine Learning Quant typically collaborate with senior quants and data scientists on projects?

As an Assistant Machine Learning Quant, you will often work closely with senior quantitative researchers and data scientists by supporting model development, data preprocessing, and feature engineering tasks. You may contribute to brainstorming sessions, implement prototypes, and assist in backtesting trading strategies or risk models. This collaborative environment provides valuable mentorship opportunities and exposure to best practices in quantitative analysis and machine learning within the finance industry. Effective communication and a willingness to learn from senior team members are key to success in this role.

What are the key skills and qualifications needed to thrive as an Assistant Machine Learning Quant, and why are they important?

To thrive as an Assistant Machine Learning Quant, you need strong quantitative skills, a background in statistics or mathematics, and typically a degree in a STEM field. Familiarity with programming languages such as Python or R, experience with machine learning frameworks, and knowledge of financial modeling tools are essential. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills in this role. These competencies enable accurate model development, efficient data analysis, and clear collaboration with team members in high-stakes financial environments.
What are the most commonly searched types of Machine Learning Quant jobs in Missouri? The most popular types of Machine Learning Quant jobs in Missouri are:
What are popular job titles related to Assistant Machine Learning Quant jobs in Missouri? For Assistant Machine Learning Quant jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Assistant Machine Learning Quant jobs in Missouri look for? The top searched job categories for Assistant Machine Learning Quant jobs in Missouri are:
What cities in Missouri are hiring for Assistant Machine Learning Quant jobs? Cities in Missouri with the most Assistant Machine Learning Quant job openings:
Infographic showing various Assistant Machine Learning Quant job openings in Missouri as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution.
Associate Data and Cost Modeling Analyst - Government Estimating

Associate Data and Cost Modeling Analyst - Government Estimating

Boeing

Hazelwood, MO • On-site

$97K - $132K/yr

Full-time

Medical, Life, Retirement

Posted 2 days ago

New


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 604 frontline employees who took The Breakroom Quiz

33rd of 528 rated manufacturers


Job description

Associate Data and Cost Modeling Analyst - Government Estimating

Company:

The Boeing Company

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

Language Requirements:

Not Applicable

Education:

Bachelor's Degree or Equivalent

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Export Control Requirement:

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.

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)

Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning

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.

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