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Senior Machine Learning Scientist Jobs in Missouri

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 ...

$80K - $110K/yr

Requirements: * 5+ years of professional experience as a Machine Learning Engineer, Data Scientist ... Competitive senior-level compensation package expected, commensurate with experience. * Opportunity ...

... 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 ...

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 ...

$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 ...

New

$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 ...

New

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Showing results 1-20

Senior Machine Learning Scientist information

See Missouri salary details

$62.4K

$103.7K

$154.3K

How much do senior machine learning scientist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for senior machine learning scientist in Missouri is $103,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,800.00 and $117,200.00 per year, depending on experience, location, and employer.

What is a senior machine learning scientist?

Senior Machine Learning Scientists are experienced professionals who design, develop, and implement advanced machine learning models to solve complex business or research problems. They are responsible for leading projects, mentoring junior team members, and staying updated on the latest AI and data science technologies. Their work often involves analyzing large datasets, selecting the right algorithms, and optimizing model performance for real-world applications. In addition to technical expertise, they often collaborate cross-functionally to align machine learning solutions with organizational goals.

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

To thrive as a Senior Machine Learning Scientist, you need expertise in machine learning algorithms, statistical analysis, programming (usually in Python or R), and an advanced degree (often a Ph.D.) in a quantitative field. Experience with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms, and version control systems is typically expected, along with knowledge of deploying models in production environments. Exceptional problem-solving, communication, and leadership skills help you translate complex data insights into actionable business solutions and mentor junior team members. These skills are crucial for developing innovative models, ensuring robust deployment, and driving impactful data-driven decisions.

What are some common challenges senior machine learning scientists face when deploying models to production environments?

Senior Machine Learning Scientists often encounter challenges such as ensuring model scalability, maintaining model performance over time, and addressing data drift once models are deployed to production. Collaborating closely with engineering and operations teams is crucial to streamline deployment pipelines and monitor models for real-world reliability. It’s also important to communicate findings and potential risks to stakeholders, and to regularly update models based on new data or business requirements. These aspects make strong cross-functional teamwork and problem-solving skills essential in this role.

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

AspectSenior Machine Learning ScientistData Scientist
CredentialsMaster's or PhD in CS, ML, or related fieldBachelor's or Master's in CS, Statistics, or related field
Work EnvironmentFocus on developing ML models, algorithms, and researchData analysis, visualization, and business insights
Industry UsageUsed in AI-driven companies, tech firms, research labsCommon across industries for data analysis and reporting

While both roles involve working with data, Senior Machine Learning Scientists focus on developing advanced ML models and algorithms, often requiring research and deep technical expertise. Data Scientists typically analyze data to generate insights and support decision-making. The roles overlap but differ mainly in technical depth and focus area.

Is a senior machine learning scientist a high paying job?

A senior machine learning scientist typically earns a high salary due to advanced skills in data analysis, programming, and model development, often exceeding average tech industry wages. Compensation varies by industry, location, and experience, but it generally reflects the specialized expertise required for the role.

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 cities in Missouri are hiring for Senior Machine Learning Scientist jobs?

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

Infographic showing various Senior Machine Learning Scientist job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $103,691 per year, or $49.9 per hour.

Senior Data Scientist - Machine Learning

Catawiki

On-site, Remote

Full-time

Retirement

Re-posted 10 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.