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Machine Learning Manager Jobs in Missouri (NOW HIRING)

Walmart

(USA) Senior Manager, Data Science

Cassville, MO · On-site

$110K - $220K/yr

As Senior Manager, Data Science, you will lead advanced analytical initiatives to develop, validate ... This role requires expertise in statistical methods, machine learning, and data visualization to ...

Smithfield Foods

Production OSU Intern

Jamesport, MO

$17.50/hr

Engaged under the supervision of the appropriate department leader while learning/performing duties ... Strong time, project, and organizational management skills * Ability to work independently as well ...

Smithfield Foods

Production OSU Intern

Jamesport, MO · On-site

$17.50/hr

Engaged under the supervision of the appropriate department leader while learning/performing duties ... Strong time, project, and organizational management skills * Ability to work independently as well ...

Smithfield Foods, Inc.

Production OSU Intern

Jamesport, MO · On-site

$17.50/hr

Engaged under the supervision of the appropriate department leader while learning/performing duties ... Strong time, project, and organizational management skills * Ability to work independently as well ...

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All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Missouri

Machine Learning Manager information

See Missouri salary details

$47.8K

$76.6K

$110.7K

How much do machine learning manager jobs pay per year?

As of Jul 10, 2026, the average yearly pay for machine learning manager in Missouri is $76,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $86,800.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Missouri? The most popular types of Machine Learning jobs in Missouri are:
What are popular job titles related to Machine Learning Manager jobs in Missouri? For Machine Learning Manager jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Missouri look for? The top searched job categories for Machine Learning Manager jobs in Missouri are:
What cities in Missouri are hiring for Machine Learning Manager jobs? Cities in Missouri with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Missouri as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $76,643 per year, or $36.8 per hour.
(USA) Senior Manager, Data Science

(USA) Senior Manager, Data Science

Walmart

Cassville, MO • On-site

$110K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,951 frontline employees who took The Breakroom Quiz

24th of 39 rated national retailers

Job description

Position Summary...What you'll do...Role summary:
As Senior Manager, Data Science, you will lead advanced analytical initiatives to develop, validate, and deploy complex models that drive strategic business decisions. This role requires expertise in statistical methods, machine learning, and data visualization to translate business requirements into actionable insights. You will guide a team in applying best practices for model assessment, feature engineering, and scalable deployment while collaborating cross-functionally to align solutions with organizational goals. Your leadership will foster innovation, ensure data quality, and support continuous improvement to enhance operational efficiency and business impact.
About the team:
The Supply Chain Strategy & Analytics team at Walmart US leverages advanced data science, machine learning, and data visualization to shape network asset strategies. Collaborating across functions, the team develops and validates analytical models aligned with business goals. Utilizing expertise in Python, SQL, and supply chain management, members deliver actionable insights to enhance operations. Committed to continuous improvement and innovation, the team supports strategic decision-making and operational excellence within a dynamic retail environment, driving impactful solutions that optimize performance and business outcomes.
What you'll do:
  • Lead the development, assessment, and validation of advanced analytical models using best practices to ensure accuracy, robustness, and scalability.
  • Design and implement data visualization solutions that effectively communicate complex insights to business stakeholders.
  • Translate business requirements into actionable data science projects aligned with strategic objectives.
  • Guide and mentor team members on modeling techniques, feature engineering, and data analysis methodologies.
  • Collaborate cross-functionally to identify data sources, ensure data quality, and support model deployment and monitoring.
  • Drive continuous improvement by integrating emerging machine learning and artificial intelligence technologies.

What you'll bring:
  • Extensive experience in data science, machine learning, and advanced statistical methods to develop and validate complex models.
  • Proficiency in Python, SQL, and data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI.
  • Strong knowledge of model assessment techniques including ROC curve analysis, Chi-square tests, and error metrics.
  • Ability to translate business requirements into data-driven solutions aligned with strategic objectives.
  • Expertise in deploying scalable models and monitoring performance in production environments.
  • Proven leadership skills to mentor teams and guide technical development.
  • Solid understanding of business metrics across multiple domains including supply chain and transportation management.
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 $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
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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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 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, PhD 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, Supervisory experience, 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...805 Respect, Bentonville, AR 72716, United States of AmericaWalmart 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.

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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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