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Senior Machine Learning Scientist Jobs in Missouri

... machine learning to analyze vast internal and external datasets. This role is crucial for ... senior leadership, traders, and business units, supporting informed decision-making and global risk ...

Translate complex business problems into data-driven analytics and machine learning tasks, then ... senior leadership, traders, and business units, supporting informed decision-making and global risk ...

Translate complex business problems into data-driven analytics and machine learning tasks, then ... senior leadership, traders, and business units, supporting informed decision-making and global risk ...

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 ...

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 ...

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 ...

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 ...

Showing results 41-60

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.

(USA) Senior, Data Scientist - Retail Intelligence

Walmart

Cassville, MO • On-site

$90K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,580 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary...Role summary:
As a Senior Data Scientist – Retail Intelligence (RI), you will help drive the next generation of data science and AI-driven solutions that power Walmart’s retail operations. This role sits at the intersection of data science, strategy, product, and engineering, supporting the development of advanced analytics, machine learning, and generative AI prototypes that translate complex business challenges into scalable technical solutions.
You will contribute to the development of AI capabilities, rapid prototypes, and intelligent agents that accelerate innovation across store operations, supply chain, and workforce domains. This role requires strong technical understanding of data science and AI systems, combined with product thinking and cross-functional collaboration skills to help shape strategy, influence stakeholders, and enable adoption. As a technical leader, you will also support teams across Retail Intelligence in modern AI development practices, LLM prototyping, and solution architecture to drive scalable innovation across the organization. What you'll do...About the team: Retail Intelligence (RI) is a multidisciplinary innovation team within Walmart focused on rapidly prototyping and deploying simulation, machine learning, and AI solutions that improve retail decision-making at scale. The team partners closely with business stakeholders, product teams, and engineering organizations to translate complex operational challenges into data-driven solutions that deliver measurable impact. RI combines science management, product thinking, and technical expertise to accelerate innovation cycles—from ideation and experimentation to production-ready capabilities. The team develops solutions spanning digital twins, workforce optimization, supply chain intelligence, store operations, and emerging AI applications such as generative AI agents. Through strong cross-functional collaboration and a culture of experimentation, RI enables Walmart to test and scale innovative solutions faster than traditional development models while ensuring alignment with long-term platform strategy. What you'll do:
  • Support development of machine learning, advanced analytics, and generative AI prototypes addressing retail business challenges.
  • Contribute to scalable AI solutions and support development of LLM-based agents, decision intelligence systems, and reusable AI capabilities.
  • Translate business problems into structured product opportunities, technical requirements, and experimentation plans.
  • Partner cross-functionally across business, product, engineering, and data science teams to support solution delivery and execution.
  • Help establish best practices for rapid prototyping, AI experimentation, and productionization workflows.
  • Collaborate with teams across Retail Intelligence on AI development practices, LLM prototyping, and applied data science initiatives.
  • Support product and science teams in experimentation design, analytics methodologies, and technical problem solving.
  • Identify opportunities to apply emerging technologies including generative AI, optimization, and simulation to retail use cases.
  • Contribute to reusable frameworks and scalable AI capabilities that can support multiple business domains.
  • Communicate technical concepts and trade-offs clearly to cross-functional stakeholders.
What you'll bring:
  • Strong technical foundation in data science, machine learning, optimization, analytics, or applied AI.
  • Hands-on experience building prototypes, analytics workflows, dashboards, or AI-enabled solutions.
  • Ability to bridge business problems with technical solution development and product thinking.
  • Experience working cross-functionally with data science, engineering, product, and business teams.
  • Strong analytical and systems-thinking mindset with an interest in scalable AI platforms and architectures.
  • Familiarity with experimentation methodologies, analytics frameworks, and data-driven decision making.
  • Experience or interest in generative AI, LLM applications, agent frameworks, or AI automation workflows.
  • Strong communication and stakeholder collaboration skills.
  • Passion for innovation, rapid learning, and applying AI to solve complex operational problems.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $90,000.00 - $180,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field. Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 702 Sw 8Th St, Bentonville, AR 72716, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

What Walmart employees say

Pay

Benefits

Hours and flexibility

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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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