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Internship Applied Scientist Machine Learning Jobs in Missouri

Jobtailor

Principal Applied Scientist

California, MO · On-site

$180 - $280/hr

Defines and drives enterprise artificial intelligence and machine learning strategy aligned with ... Requires an MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics ...

Catawiki

We believe in creating flexible models that can be applied to a variety of use cases, and in ... So what's the job As a Senior Machine Learning Data Scientist in the Data Team at Catawiki you will ...

Jobtailor

Machine Learning Scientist II

California, MO · On-site

$120 - $180/hr

Bachelor's degree in Computer Science or a related technical field; or Equivalent related ... Expertise in applied ML: Deep, practical knowledge of machine learning theory (supervised ...

iHerb

Principal Machine Learning Engineer

California, MO · On-site

$205 - $230/hr

The Machine Learning Engineer will partner closely with Data Scientists, Applied Scientists, and Software Developers to ensure predictive models make business impact. Responsibilities * Partner with ...

Jobtailor

Founding Data Scientist

California, MO · On-site

$120 - $180/hr

Requirements * 3-9 years of applied data science or ML experience * Experience shipping models to ... Machine Learning Model Deployment * Python Proficiency * Data Infrastructure Ownership

Walmart

Principal, Data Scientist (Pricing)

Anderson, MO · On-site

$110K - $220K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics ...

Walmart

Principal, Data Scientist (Pricing)

Noel, MO · On-site

$110K - $220K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics ...

Kohl's

Experience using commercial or open-source optimization tools such as Gurobi, Pyomo, CPLEX, etc * BS in Operations Research, Data Science, Computer Science, Machine Learning, Applied Mathematics, or ...

Jobtailor

Machine Learning Engineer, Level 5

California, MO · On-site

$170 - $210/hr

Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience * 5+ years of post-Bachelor's machine learning experience; or Master's degree ...

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All JobsApplied Scientist Machine Learning JobsInternship Applied Scientist Machine Learning JobsInternship Applied Scientist Machine Learning Jobs in Missouri

Internship Applied Scientist Machine Learning information

What does an internship applied scientist in machine learning do?

An Internship Applied Scientist in Machine Learning works on real-world projects involving the design, development, and evaluation of machine learning models and algorithms. Their responsibilities typically include data analysis, building predictive models, experimenting with new techniques, and collaborating with engineers and researchers to solve complex problems. Interns gain hands-on experience with tools like Python, TensorFlow, or PyTorch, and contribute to advancing the company's AI capabilities. The role requires a strong foundation in mathematics, statistics, and computer science, as well as the ability to communicate findings to both technical and non-technical stakeholders.

What types of projects do internship applied scientists in machine learning typically work on, and how do they contribute to the team's goals?

Internship Applied Scientists in Machine Learning often collaborate with multidisciplinary teams to tackle real-world problems using data-driven approaches. Typical projects might include developing and fine-tuning machine learning models, conducting experiments to validate hypotheses, or assisting in the deployment of algorithms into production systems. Interns are expected to contribute fresh perspectives, help with data preprocessing, and perform thorough model evaluations. Through these projects, interns gain hands-on experience while directly supporting the team's research and product development objectives.

What are the key skills and qualifications needed to thrive as an internship applied scientist in machine learning, and why are they important?

To thrive as an Internship Applied Scientist in Machine Learning, you need a solid background in mathematics, statistics, and computer science, often supported by coursework or research experience in machine learning and data analysis. Familiarity with tools such as Python, TensorFlow, PyTorch, and experience working with large datasets are highly valued, along with knowledge of version control systems like Git. Strong problem-solving skills, curiosity, and the ability to communicate complex concepts clearly set top candidates apart. These competencies are crucial for effectively designing, implementing, and presenting machine learning solutions that address real-world challenges.

What is the difference between Internship Applied Scientist Machine Learning vs Internship Data Scientist?

AspectInternship Applied Scientist Machine LearningInternship Data Scientist
Required CredentialsRelevant degrees in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegrees in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentResearch and development teams, focus on ML model developmentBusiness teams, focus on data analysis and insights
Employer & Industry UsageTech companies, AI-focused organizationsVarious industries including tech, finance, healthcare
Comparison Search IntentUnderstanding roles in ML research and developmentUnderstanding data analysis and business insights roles

Internship Applied Scientist Machine Learning roles focus on developing and applying machine learning models, often in research settings. In contrast, Internship Data Scientist positions emphasize analyzing data to generate insights for business decisions. Both roles require strong analytical skills and relevant educational backgrounds, but they differ in their primary focus and work environment.

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

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

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

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

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

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

Internship Applied Scientist Machine Learning jobs near you
Infographic showing various Internship Applied Scientist Machine Learning job openings in Missouri as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Principal Applied Scientist

Jobtailor

California, MO • On-site

$180 - $280/hr

Other

Posted 22 days ago

Job description

Responsibilities
  • Defines and drives enterprise artificial intelligence and machine learning strategy aligned with organizational priorities
  • Leads the design, validation, deployment, monitoring, and continuous improvement of advanced artificial intelligence and machine learning solutions
  • Architects scalable end-to-end production systems, including model training, evaluation, deployment, monitoring, and lifecycle management
  • Translates complex business challenges into scalable artificial intelligence solutions with measurable outcomes
  • Establishes technical standards, reusable patterns, and best practices for enterprise artificial intelligence development and governance
  • Partners with business and technology leaders to influence capability roadmaps and deliver sustainable business value
  • Mentors data scientists, machine learning engineers, researchers, and technical leaders
Requirements
  • Requires an MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research, Engineering, Data Science, Economics, or a related quantitative discipline
  • Minimum of 10 years of experience in machine learning, data science, artificial intelligence, advanced analytics, or related technical fields
  • Experience leading artificial intelligence or machine learning initiatives from concept through production deployment
  • Experience with Python, machine learning frameworks, cloud-based artificial intelligence, or machine learning platforms, MLOps, model deployment, monitoring, lifecycle management, and structured and unstructured data systems
Core Competencies

Demonstrates expertise in defining and implementing enterprise artificial intelligence and machine learning strategies, with a strong focus on scalable solutions and measurable outcomes. Proficient in leading cross-functional teams and mentoring technical professionals to drive innovation and business value.

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