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Temporary Machine Learning Scientist Jobs in Missouri

Catawiki

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 ...

Varsity Tutors

Machine Learning Tutor

Kansas City, 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 ...

Varsity Tutors

Machine Learning Tutor

Saint Louis, 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 ...

Varsity Tutors

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 ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...

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Temporary Machine Learning Scientist information

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 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 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 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Senior Data Scientist - Machine Learning

Catawiki

On-site, Remote

Full-time

Retirement

Re-posted 12 days ago

Key responsibilities

  • Build production-ready machine learning models and implement them within the product using robust and scalable code.

  • Explore and analyze extensive data to identify opportunities and apply machine learning and advanced statistics to solve business problems.

  • Deploy scalable models on cloud infrastructure, producing real-time, asynchronous, and batch predictions.

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.

Apply