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Assistant Machine Learning Quant Jobs in Saint Louis, MO

Bunge North America

Data Scientist

Chesterfield, MO · On-site +1

  • Medical

  • Retirement

  • PTO

Translate complex business problems into data-driven analytics and machine learning tasks, then ... Minimum 2-year of professional experience in a Data Scientist or similar quantitative role ...

Bunge

Data Scientist

Chesterfield, MO · On-site

  • Medical

  • Retirement

  • PTO

... machine learning to analyze vast internal and external datasets. This role is crucial for ... Quantitative Finance, Business Analytics, or a closely related quantitative field. • Minimum 2 ...

Bunge

Data Scientist

Chesterfield, MO · On-site

  • Medical

  • Retirement

  • PTO

Translate complex business problems into data-driven analytics and machine learning tasks, then ... Minimum 2-year of professional experience in a Data Scientist or similar quantitative role ...

Bunge Iberica SA

Data Scientist

Chesterfield, MO · On-site

$110 - $150/hr

  • Medical

  • Retirement

  • PTO

Translate complex business problems into data-driven analytics and machine learning tasks, then ... Minimum 2-year of professional experience in a Data Scientist or similar quantitative role ...

Bunge

Data Scientist

Chesterfield, MO · On-site +1

  • Medical

  • Retirement

  • PTO

Translate complex business problems into data-driven analytics and machine learning tasks, then ... Minimum 2-year of professional experience in a Data Scientist or similar quantitative role ...

Perficient

Lead Data Scientist

Saint Louis, MO · On-site

... related quantitative field. * 8+ years of experience developing and deploying predictive models using statistical and machine learning techniques. * Strong experience applying machine learning ...

Perficient

Lead Data Scientist

Saint Louis, MO · On-site

  • Life

  • PTO

... related quantitative field. * 3+ years of experience developing and deploying predictive models using statistical and machine learning techniques. * Strong experience applying machine learning ...

Perficient, Inc.

Lead Data Scientist

Saint Louis, MO · On-site

... related quantitative field. * 8+ years of experience developing and deploying predictive models using statistical and machine learning techniques. * Strong experience applying machine learning ...

Safety National Casualty

Senior Data Scientist

Saint Louis, MO · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... quantitative field. Required Qualifications * 6 or more years of experience as a Data Scientist with a focus on machine learning and predictive modeling. * Strong proficiency with Python or R and ...

Safety National

Senior Data Scientist

Saint Louis, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... quantitative field. Required Qualifications * 6 or more years of experience as a Data Scientist with a focus on machine learning and predictive modeling. * Strong proficiency with Python or R and ...

Safety National

Senior Data Scientist

Saint Louis, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... quantitative field. Required Qualifications * 6 or more years of experience as a Data Scientist with a focus on machine learning and predictive modeling. * Strong proficiency with Python or R and ...

Perficient, Inc.

Lead Data Scientist

Saint Louis, MO

  • Life

  • PTO

... related quantitative field. * 3+ years of experience developing and deploying predictive models using statistical and machine learning techniques. * Strong experience applying machine learning ...

Embtel, Inc.

Jr. Data Scientist

Saint Louis, MO · On-site

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

Embtel, Inc.

Jr. Data Scientist

Saint Louis, MO

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

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Assistant Machine Learning Quant information

See Saint Louis, MO salary details

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How much do assistant machine learning quant jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for assistant machine learning quant in Saint Louis, MO is $17.55, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $18.70 per hour, depending on experience, location, and employer.

What is an assistant machine learning quant?

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 popular job titles related to Assistant Machine Learning Quant jobs in Saint Louis, MO?

For Assistant Machine Learning Quant jobs in Saint Louis, MO, the most frequently searched job titles are:

What job categories do people searching Assistant Machine Learning Quant jobs in Saint Louis, MO look for?

The top searched job categories for Assistant Machine Learning Quant jobs in Saint Louis, MO are:

Assistant Machine Learning Quant jobs near you
Infographic showing various Assistant Machine Learning Quant job openings in Saint Louis, MO as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $36,507 per year, or $17.6 per hour.

Machine Learning Engineer 727

Freedom Technology Solutions Group

Saint Louis, MO

Full-time

Re-posted yesterday

Job description

Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and optimize production AI/ML capabilities supporting mission-critical geospatial and intelligence systems. You will work at the intersection of software engineering, cloud architecture, and data science to build scalable machine learning pipelines capable of operating within secure government environments.

This is a hands-on engineering position focused on moving models from research into reliable production systems.


Responsibilities:

  • Da
  • Design, train, validate, and deploy machine learning models
  • Build production inference pipelines
  • Develop feature engineering workflows
  • Optimize model performance and resource utilization
  • Implement MLOps pipelines supporting continuous integration and deployment
  • Build scalable APIs exposing AI capabilities
  • Monitor model drift and operational performance
  • Collaborate with Data Scientists and Software Engineers
  • Deploy AI workloads into AWS cloud environments
  • Support computer vision, NLP, and geospatial AI initiatives
  • Collaborate with architects, data scientists, and mission stakeholders to gather, document, and refine customer requirements, including data mapping and integration needs
  • Assist in implementing integration solutions in collaboration with development team members
  • Facilitate communication between stakeholders to ensure timely and effective requirements execution
  • Ensure activities align with established processes, standards, and mission objectives
  • Contribute to documentation of processes, procedures, integration patterns, and lessons learned


Key Technologies

  •  A
  • Python
  • PyTorch
  • TensorFlow
  • Scikit-learn
  • Hugging Face
  • MLflow
  • Docker/Podman
  • Kubernetes/EKS
  • ECS
  • Lambda
  • SageMaker
  • GitLab CI/CD
  • Linux
  • PostgreSQL/PostGIS, Aurora, Oracle (w/Spatial)
  • Redis, Elasticache
  • GDAL, Rasterio, OGR

Required Qualifications

  • Active TS/SCI clearance (eligible for CI Poly)
  • 1-3(Junior), 3-7(Journeyman), 8-11 (Senior), >12 (Principal) years of experience in software development, system integration, or technical support roles
  • Experience working directly with customers or stakeholders in a technical or mission environment
  • Strong communication and coordination skills across technical and non-technical teams
  • Experience gathering and documenting requirements
  • Ability to manage multiple tasks and priorities in a dynamic environment
  • Familiarity with Agile development practices
  • Experience using GitLab or similar tools for collaboration and tracking


Desired Qualifications

  • Experience deploying production AI systems
  • Experience with computer vision
  • Experience with large language models
  • Geospatial AI experience
  • AWS AI services
  • Experience processing satellite imagery
  • Familiarity secure data movement environments
  • Experience working with enterprise service processes such as Service+
  • Development or scripting experience (Python, JavaScript, or similar)
  • Geospatial/GIS development a plus
  • Experience with data mapping or integration workflows (using JSON or other object notation)
  • Familiarity with operational dashboards and metrics reporting
  • Experience supporting customer requirement implementation and/or system integration efforts

Apply