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Temporary Machine Learning Scientist Jobs in Missouri

6AM City, LLC

Machine Learning Engineer

California, MO · On-site

$110 - $170/hr

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML ... A degree in Computer Science or a related field. Preferred Skills and Experience * Experience ...

Walmart

Staff, Machine Learning Engineer

Noel, MO · On-site

$130K - $260K/yr

A successful candidate will have an established hands-on data science, AI, ML experience in driving ... Work on Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch and Agentic ...

Walmart

Staff, Machine Learning Engineer

Anderson, MO · On-site

$130K - $260K/yr

A successful candidate will have an established hands-on data science, AI, ML experience in driving ... Work on Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch and Agentic ...

Walmart

Staff, Machine Learning Engineer

Cassville, MO · On-site

$130K - $260K/yr

A successful candidate will have an established hands-on data science, AI, ML experience in driving ... Work on Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch and Agentic ...

Esri

Overview Are you passionate about changing the world through machine learning and location ... We're seeking a Data Scientist who combines technical expertise with strong interpersonal skills to ...

Jobgether

This role offers the opportunity to shape the future of machine learning applications in life sciences and drug discovery. You will lead the scientific strategy behind predictive toxicology and ...

Bunge Iberica SA

Data Scientist

Chesterfield, MO · On-site

$110 - $150/hr

Data Scientist Date: Aug 10, 2026 Location: Chesterfield, MO -Missouri, US, 63017 City ... Translate complex business problems into data-driven analytics and machine learning tasks, then ...

New

Walmart

Principal, Data Scientist (Pricing)

Cassville, MO · On-site

$110K - $220K/yr

You will work closely with data scientists, machine learning engineers, operations research scientists, and data analysts, while collaborating with business leaders, product managers, pricing ...

Walmart

Principal, Data Scientist (Pricing)

Anderson, MO · On-site

$110K - $220K/yr

You will work closely with data scientists, machine learning engineers, operations research scientists, and data analysts, while collaborating with business leaders, product managers, pricing ...

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All JobsMachine Learning Scientist JobsTemporary Machine Learning Scientist JobsTemporary Machine Learning Scientist Jobs in Missouri

Temporary Machine Learning Scientist information

What is the difference between Temporary Machine Learning Scientist vs Data Scientist?

AspectTemporary Machine Learning ScientistData Scientist
CredentialsTypically requires a master's or PhD in computer science, data science, or related fields; experience with machine learning frameworksUsually holds a bachelor's or master's in data science, statistics, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech, finance, or healthcare companiesFull-time or contract roles across various industries, focusing on data analysis and insights
Employer UsageHired for specialized machine learning projects, prototypes, or research tasksEngaged in data analysis, reporting, and building predictive models

In summary, a Temporary Machine Learning Scientist focuses on developing and implementing machine learning models on a temporary basis, often requiring advanced credentials and specialized skills. In contrast, a Data Scientist has a broader role in analyzing data and generating insights, with less emphasis solely on machine learning techniques.

What is a temporary machine learning scientist?

Temporary Machine Learning Scientists are professionals hired on a short-term basis to develop, implement, and optimize machine learning models within an organization. They typically work on specific projects or to fill a temporary gap in expertise, often collaborating with data scientists, engineers, and stakeholders. Their responsibilities may include data preprocessing, feature engineering, model selection, and evaluation. These roles are ideal for projects with defined timelines or exploratory research that does not require a permanent hire. Temporary contracts can range from a few months to a year, depending on the project's scope and needs.

What types of projects do temporary machine learning scientists typically work on, and how do they integrate with existing teams?

Temporary Machine Learning Scientists are often brought in to support short-term projects such as data analysis, model prototyping, or improving existing machine learning pipelines. Their work usually involves collaborating closely with data engineers, software developers, and product managers to ensure seamless integration of models into production systems. Since the role is temporary, effective communication and quick adaptation to the team's workflow are crucial. These scientists are expected to rapidly understand the company's data and objectives, deliver actionable insights, and document their work for team continuity after their contract ends.

What are the key skills and qualifications needed to thrive as a temporary machine learning scientist, and why are they important?

To thrive as a Temporary Machine Learning Scientist, you typically need advanced knowledge of machine learning algorithms, data analysis, programming skills (such as Python or R), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and tools for data processing and model deployment is often required, along with experience using cloud platforms such as AWS or Azure. Strong problem-solving abilities, adaptability, and effective communication skills help you quickly integrate into teams and deliver results on short-term projects. These skills ensure you can efficiently contribute to impactful solutions and adapt to rapidly changing project requirements.

What are the most commonly searched types of Machine Learning Scientist jobs in Missouri?

The most popular types of Machine Learning Scientist jobs in Missouri are:

What are popular job titles related to Temporary Machine Learning Scientist jobs in Missouri?

For Temporary Machine Learning Scientist jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Temporary Machine Learning Scientist jobs in Missouri look for?

The top searched job categories for Temporary Machine Learning Scientist jobs in Missouri are:

What cities in Missouri are hiring for Temporary Machine Learning Scientist jobs?

Cities in Missouri with the most Temporary Machine Learning Scientist job openings:

Temporary Machine Learning Scientist jobs near you
Infographic showing various Temporary Machine Learning Scientist job openings in Missouri as of August 2026, with employment types broken down into 20% Internship, and 80% Full Time. Highlights an 60% In-person, and 40% Remote job distribution.

Machine Learning Engineer, Causal Inference, Level 5

Jobtailor

California, MO • On-site

$150 - $210/hr

Other

Posted 4 days ago

Job description

  • Design and build models that quantify causal impact, optimize decision‑making, and drive value for users, advertisers, and the business
  • Develop and productionize causal machine learning solutions (e.g., uplift modeling, heterogeneous treatment effect estimation) using observational and experimental data
  • Design, analyze, and interpret A/B tests and quasi‑experiments; collaborate closely with product and engineering partners to shape experimentation strategies
  • Evaluate technical tradeoffs between model complexity, bias/variance, scalability, and interpretability
  • Conduct code reviews, maintain high engineering standards, and build scalable, maintainable infrastructure
  • Contribute to rapid iteration cycles while ensuring methodological rigor
Requirements
  • Bachelor’s degree in computer science, statistics, economics, or a related technical field, or equivalent practical experience
  • 5+ years of post‑Bachelor’s experience in machine learning, with hands‑on experience in causal inference or experimentation; or Master’s degree in a technical field + 4+ years of post‑grad machine learning experience; or PhD in a relevant technical field + 2 years of post‑grad machine learning experience
  • Demonstrated experience building models to support product decision‑making and policy evaluation through causal techniques
  • Experience designing and analyzing online experiments (A/B tests) and leveraging causal ML in production systems
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