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Internship Applied Scientist Machine Learning Jobs in Missouri

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 ...

As a Machine Learning Engineer, you will work with complex datasets, design and optimize models ... Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is a plus but ...

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

New

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 ...

New

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

New

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 ...

Working alongside multidisciplinary experts in machine learning, software engineering, and scientific domains, you'll contribute to cutting-edge AI initiatives with meaningful impact. This is an ...

We're seeking a Data Scientist who combines technical expertise with strong interpersonal skills to ... Applied statistics experience * Experience developing machine learning solutions, preferably in ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Columbia, MO · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Staff, 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, Successful ...

New

Staff, 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, Successful ...

New

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Internship Applied Scientist Machine Learning information

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 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 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 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 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:
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.

Senior Data Scientist - Machine Learning

Catawiki

On-site, Remote

Other

Retirement

Posted 14 days ago


Job description

Our Data Story

With ten-thousands of active items on auction every day, hundred-thousands of bids, millions of users, and billions of events, the Catawiki platform generates vast amounts of data. We collect this data centrally, using it to generate business insights, as well as powering machine learning models that enhance our user experience, optimize our workflows, and keep our platform safe. We believe in creating flexible models that can be applied to a variety of use cases, and in experimentation and iteration to hit the ground running and continually improve the tools we build.The Data Team, which covers the full data spectrum of Machine Learning, Analysis and Data Engineering, has a clear a mission within Catawiki:

Why: We believe that by using data in a smart way, we can build the best Catawiki possible. We want to have impact and see opportunities everywhere.

How: We are builders, thinkers and talkers. We collaborate closely with every department to create value for our customers. We think big and hold ourselves to high standards, because our work really matters for the future of the company.

What: As a result we create business value by delivering scalable, robust models and actionable insights and predictions. We help the company to find opportunities and understand success, and we empower everyone to use data to be successful.

So what's the job

As a Senior Machine Learning Data Scientist in the Data Team at Catawiki you will focus on delivering scalable and impactful data products. You'll work closely with our product and development teams while implementing your work. This includes:

  • Building production-ready models that apply machine learning and advanced data science techniques within our product offering by writing robust and scalable code.
  • Finding data science opportunities by exploring our extensive mobile and web data, and applying machine learning and advanced statistics to tackle these real-world business problems.
  • Being pragmatic when needed but also able to go deep into a problem, applying your expert knowledge of machine learning techniques
  • Working with cross-disciplinary teams involving product owners, developers, UX designers, and business analysts in identifying improvements and new use cases for ML
  • Deploy scalable models using Kubernetes on cloud infrastructure, producing real-time, asynchronous, and batch predictions

Who you are 
  • You are an all-around data scientist with 5+ years of experience who is as comfortable diving into the internals of a model implementation as discussing new opportunities for ML with product stakeholders
  • Can use your broad skill set to solve challenging ML problems and have a high throughput.
  • Are familiar with a range of different ML techniques and use that to select a good solution for their projects.
  • Are able to considers the operating/deployment constraints of large models and implement solutions accordingly
  • Give guidance and unblock others in your team by supporting them with advice and new techniques.
  • Have a strong quantitative background (statistics, ML, sciences, etc.)
  • Are fluent in Python and capable with SQL
  • Have deployed ML models serving real time responses on a large scale
  • Have demonstrable experience in building robust data products that created value for the company you worked for.

The following are a plus:

  • Proven ability to extract meaning from very big datasets with little engineering support.
  • Experience with one or more of the following: PyTorch/Tensorflow, LightFM, Git, Docker, Kubernetes, Google BigQuery, MySQL, Spark, Airflow, Kafka, nginx, CI/CD, 
  • An entrepreneurial mindset that enables you to get things done, even if that requires actions outside your own area or comfort zone.

Where you'll be

This role is based in Amsterdam  but we can offer remote work from the following countries: France, Germany, Belgium, Italy, Spain and The U.K. We also offer an excellent relocation package for people living outside of the Netherlands.


Here's what we can offer you

This is your chance to become part of a fast but sustainable growing tech company! You will have an exciting role in a young, fast-growing, dynamic & international organisation. You'll be part of an enthusiastic, highly motivated team of 800+ international Catawikians; you'll have big responsibilities and can really create something. Additionally you can expect:

  • An attractive Stock Options package  
  • Working with a top notch team acting on a champions league level in a super complex dynamic environment; you will learn a lot!
  • A diverse and international team with over 50 different nationalities.
  • A great office located in the heart of Amsterdam with an easy-going atmosphere.
  • Our entrepreneurial environment encourages everyone to take initiative and experiment with new ideas. You'll actively contribute to the growth of the Catawiki platform.
  • Tailor-made trainings to facilitate your personal and professional growth
  • The fun part! Our Activity Committee plans everything from 'CataFooty' to International Food Festivals, Friday Drinks, Board Game Nights, Pub Quizzes and Boot Camps!
  • And there's more! Paid holidays, holiday allowance and a fantastic pension plan paid for by Catawiki.