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Machine Learning Assistant Jobs in Saint Louis, MO

Notice Regarding Potential Use of Artificial Intelligence in the Hiring Process Hospital Sisters may use automated tools, including artificial intelligence or machine-learning technologies, to assist ...

Surgical Tech First Assistant

O Fallon, IL · On-site

$32.58 - $48.87/hr

Notice Regarding Potential Use of Artificial Intelligence in the Hiring Process Hospital Sisters may use automated tools, including artificial intelligence or machine-learning technologies, to assist ...

What You'll be Owning * Assist the EO lead in conducting assessment of potential differences ... Experience applying CV and machine learning (ML) techniques to EO imagery and data to address ...

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Machine Learning Assistant information

See Saint Louis, MO salary details

$13

$17

$22

How much do machine learning assistant jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for machine learning assistant 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 are some common challenges a machine learning assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What is a machine learning assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What are the key skills and qualifications needed to thrive as a machine learning assistant?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.
What are the most commonly searched types of Machine Learning jobs in Saint Louis, MO? The most popular types of Machine Learning jobs in Saint Louis, MO are:
What job categories do people searching Machine Learning Assistant jobs in Saint Louis, MO look for? The top searched job categories for Machine Learning Assistant jobs in Saint Louis, MO are:
Infographic showing various Machine Learning Assistant job openings in Saint Louis, MO as of August 2026, with employment types broken down into 1% As Needed, 58% Full Time, 38% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $36,507 per year, or $17.6 per hour.

Dashboard Developer, Mid-Level

GDIT

Scott Air Force Base, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

88th of 223 rated it services


Job description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Secret

Clearance Level Must Be Able to Obtain:

Secret

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Business Intelligence Dashboards, Data Analytics, Data Science

Certifications:

None

Experience:

2 + years of related experience

US Citizenship Required:

Yes

Job Description:

In an increasingly connected world, massive amounts of structured and unstructured data open up endless opportunities. Our dashboard developers spend their days unlocking secrets held by data sets and exploring new possibilities presented by the IoT, machine learning, and artificial intelligence advances. They turn complex data sets into valuable information to solve global challenges across private and public sectors - from fraud detection to cancer research to national intelligence - they know, the answers are in the data.

In an increasingly connected world, massive amounts of structured and unstructured data open up endless opportunities. Our dashboard developers spend their days unlocking secrets held by data sets and exploring new possibilities presented by the IoT, machine learning, and artificial intelligence advances. They turn complex data sets into valuable information to solve global challenges across private and public sectors - from fraud detection to cancer research to national intelligence - they know, the answers are in the data.

The mid-level dashboard developer uses the power of their analytical skills to assist and improve the defense industry in numerous ways, working closely with customers to understand their questions and needs and dig into their data-rich environment to discover the missing pieces in the information puzzle. Applying specific functional and general industry knowledge, our dashboard developers discover answers to a variety of problems of moderate scope and complexity by developing algorithms, writing scripts, building predictive analytics, maximizing automation, applying machine learning and combining tools and frameworks to turn disparate data points into objective answers that help military leaders make informed decisions. The dashboard developer offers customers a deep understanding of their data, what it all means, and how they can use it, and acts as a trusted source who optimizes the potential of data science for good in the defense industry. At the mid-level, this role works independently with some guidance and may review or guide activities of more junior employees.

What we're looking for:

  • Solid experience in distributed computing frameworkswith hands-on expertise inDatabricks,SQL, andSpark.
  • Proficient in designing and implementing ETL pipelinesto transform and integrate data efficiently from diverse sources.
  • Expertise in data visualization and business intelligenceusing tools such asQlik,Tableau, andPower BI, with the ability to create intuitive dashboards and clear, actionable insights.
  • Strong analytical modeling experience, including the development of forecasts, cost models, and trend analyses.
  • Advanced proficiency in programming languages like Python, with demonstrated experience in writing efficient, scalable scripts for data processing and analytics.
  • Ability to present insights effectively to senior leadership and collaborate with cross-functional teams to meet organizational objectives.
  • A curious, independent thinker who enjoys tackling challenging problems, offering creative solutions, and continuously seeking opportunities to innovate.
  • Excellent time management and organizational skills to manage competing priorities in a complex matrix environment effectively.

Basic Qualifications:

  • 2+ years of experience with data science or analytics

  • Experience with building robust analytical models, including forecasts, cost models, and historical trend analyses

  • Ability to navigate a complex matrix environment and manage competing priorities

  • Active Secret clearance

  • BA or BS degree

Additional Qualifications:

  • Strong knowledge of data programming languages such as SQL and Python, with the ability to integrate structured and unstructured datasets into actionable formats.
  • Experience facilitating training for BI toolsto empower teams with self-service analytics capabilities.
  • Understanding of data management practices within the DoW environment, leveraging SQL or SAS for database manipulation and integration workflows.
  • Outstanding communication skills to align stakeholder needs, articulate development plans, and track progress effectively.
  • Exceptional critical thinking and statistical analysis capabilities, with the ability to derive actionable conclusions from complex data patterns.


GDIT is your place:

  • 401K with company match

  • Comprehensive health and wellness packages

  • Internal mobility team dedicated to helping you own your career

  • Professional growth opportunities including paid education and certifications

  • Cutting-edge technology you can learn from

  • Rest and recharge with paid vacation and holidays

#gditpriority

The likely salary range for this position is $68,000 - $92,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Onsite

Work Location:

USA IL Scott AFB

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US