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Junior Machine Learning Jobs in Missouri (NOW HIRING)

Walmart

(USA) Data Scientist III

Anderson, MO · On-site

$90K - $180K/yr

Apply advanced statistical and machine learning techniques to develop and refine analytical models ... Mentor junior associates on analytical methods and best practices. * Communicate findings through ...

Walmart

(USA) Data Scientist III

Cassville, MO · On-site

$90K - $180K/yr

Apply advanced statistical and machine learning techniques to develop and refine analytical models ... Mentor junior associates on analytical methods and best practices. * Communicate findings through ...

Walmart

(USA) Data Scientist III

Noel, MO · On-site

$90K - $180K/yr

Apply advanced statistical and machine learning techniques to develop and refine analytical models ... Mentor junior associates on analytical methods and best practices. * Communicate findings through ...

Kohl's

Develop and implement statistical and machine learning models * Fine-tune, optimize and ensure the ... Mentor and guide junior data scientists, providing technical expertise and fostering a culture of ...

Nestle

Expert Data Scientist

Saint Louis, MO

$130K - $188K/yr

Lead the development and deployment of advanced machine learning, optimization, and AI solutions to ... Mentor junior data scientists and provide thought leadership on emerging technologies such as ...

Walmart

(USA) Staff, Data Scientist

Anderson, MO · On-site

Lead code quality and engineering best practices by conducing code reviews and mentoring junior ... Experience in machine learning, supervised and unsupervised and deep learning. * Experience in ...

Walmart

(USA) Staff, Data Scientist

Noel, MO · On-site

Lead code quality and engineering best practices by conducing code reviews and mentoring junior ... Experience in machine learning, supervised and unsupervised and deep learning. * Experience in ...

Walmart

(USA) Staff, Data Scientist

Cassville, MO · On-site

Lead code quality and engineering best practices by conducing code reviews and mentoring junior ... Experience in machine learning, supervised and unsupervised and deep learning. * Experience in ...

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All JobsMachine Learning JobsJunior Machine Learning JobsJunior Machine Learning Jobs in Missouri

Junior Machine Learning information

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

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

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

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 Junior Machine Learning jobs in Missouri?

For Junior Machine Learning jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Junior Machine Learning jobs in Missouri look for?

The top searched job categories for Junior Machine Learning jobs in Missouri are:

Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Consultant - AI Solutions & Architecture - 1898 & Co. (Kansas City)

Burns & McDonnell

Kansas City, MO • On-site

Full-time

Re-posted 16 days ago

Burns & McDonnell rating

8.7

Company rating: 8.7 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

3rd of 80 rated construction

Job description

Description At 1898 & Co., we help our clients unlock the power of data and analytics to shape smarter business strategies and drive innovation. Our Business Intelligence & Analytics team works with electric utilities, energy companies, and other critical infrastructure clients to design, implement, and deliver advanced analytics and AI-enabled solutions. As part of Burns & McDonnell, we bring decades of industry expertise and a spirit of innovation to solve some of the most pressing infrastructure challenges of our time.
We are seeking a consultant focused on AI solutions and architecture who is passionate about applying analytics and artificial intelligence to transform utility operations and decision-making. In this role you'll partner with clients to identify high-impact opportunities, shape AI strategies, and collaborate with data scientists, engineers, and business experts to design solutions that transform operations, improve customer experiences, and advance sustainability. You'll bring curiosity, adaptability, and a commitment to continual learning to stay ahead of emerging technologies and their applications in the industry.
What You'll Do
  • Conduct research into the application of analytics to new domains, with a focus on electric utilities and critical infrastructure.
  • Apply a pragmatic problem-solving approach to create value while ensuring robustness and data integrity.
  • Document and summarize findings, develop visualizations, and communicate insights effectively to stakeholders.
  • Envision and design AI-enabled solutions that address challenges such as grid modernization, asset management, outage prediction, renewable integration, and customer engagement.
  • Work closely with clients to translate business needs into AI/analytics opportunities and define solution roadmaps.
  • Collaborate with technical experts to ensure solutions are practical, scalable, and aligned with client goals.
  • Stay informed on emerging AI technologies and evaluate their impact on utility operations.
  • Lead workshops and presentations to communicate solution concepts and inspire stakeholder engagement.
  • Provide leadership, mentoring, and guidance to project teams and junior staff.
  • Champion a culture of innovation, continuous learning, and exploration of AI's potential.
  • Thrive in a fast-paced environment with shifting priorities.
  • Ensure QA/QC process adherence and compliance with company policies, quality standards, and safety requirements.
  • Perform other duties as assigned.

Preferred Skills & Experiences
  • 5 years of experience in analytics, AI/ML, or utility operations with a strong focus on solution development and strategy. Proficiency with Python and support data and analytics libraries.
  • Strong familiarity with the electric utility industry, its data domains (AMI, SCADA, GIS, asset/customer systems), and its operational challenges.
  • Working knowledge of AI and analytics methods (machine learning, predictive modeling, data visualization) with the ability to collaborate effectively with technical experts.
  • Passion for continual learning and applying new AI/analytics advancements to solve real-world industry challenges.
  • Strong communication skills with the ability to engage both executives and technical teams.
  • Consulting or client-facing experience strongly preferred.

Qualifications
  • Bachelor's degree in data Analytics, Computer Science, Information Systems, Statistics, Engineering, Math, or related field from an accredited program and 7 years of related experience
  • Master's degree or PhD preferred
  • 5 years of experience in analytics, AI/ML, or utility operations with a strong focus on solution development and strategy preferred
  • Proficiency with Python and support data and analytics libraries preferred
  • Strong familiarity with the electric utility industry, its data domains (AMI, SCADA, GIS, asset/customer systems), and its operational challenges preferred
  • Working knowledge of AI and analytics methods (machine learning, predictive modeling, data visualization) with the ability to collaborate effectively with technical experts preferred
  • Passion for continual learning and applying new AI/analytics advancements to solve real-world industry challenges preferred
  • Strong communication skills with the ability to engage both executives and technical teams preferred.
  • Consulting or client-facing experience strongly preferred.
  • Demonstrated application of analytics processing engines such as Spark, Hadoop, Flink, Storm
  • Experience with commercial analytics tooling such as SAS, SPSS.
  • Experience with Business Intelligence tools such as ThoughtSpot, Tableau or Power BI.
  • Familiarity with the analytics stack from at least one cloud provider.
  • Demonstrated application of data wrangling and supporting tools.
  • Demonstrated application of statistical analytics and machine learning. Experience with a variety of machine learning algorithms and an understanding of the application of other algorithms.
  • Experience with the domain of problems of an Electric Utility strongly preferred.
  • Experience in utility analytics in a technology vendor or utility environment.
  • Proficient in SQL, Python, Python data science libraries. Experience with R or other languages.
  • An understanding of geospatial analytics is preferred.
  • Ability to work with team members and clients to assess needs, provide assistance, and resolve problems.
  • Strong problem-solving and analytical skills.
  • Desire to understand why things work the way they do.
  • Ability to present and explain technical concepts to business audiences.
  • All other duties as assigned.

This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled.
EEO/Disabled/Veterans
Job Consulting
Primary Location US-MO-Kansas City
Schedule: Full-time
Travel: Yes, 15 % of the Time
About 1898 & Co. 1898 & Co. is a business, technology and security solutions consultancy where experience and foresight come together to unlock lasting advancements. We innovate today to fuel our clients' future growth, catalyzing insights that drive smarter decisions, improve performance and maximize value. As part of Burns & McDonnell, we draw on more than 120 years of deep and broad experience in complex industries as we envision and enable the future for our clients.
Req ID: 253927
Job Hire Type Experienced #LI-EH #E98 N/A

What Burns & McDonnell employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Burns & McDonnell

Sourced by ZipRecruiter

Burns & McDonnell assists clients of all sizes and industries by providing extensive physical services ranging from assessments, integrated security solutions, and large security architecture designs. Services we typically provide include security and safety system design, threat, risk, and vulnerability assessments, security surveys, security master planning, compliance to federal security programs, independent validation and verification of integrated security system operations, management of installation and maintenance, and staff augmentation to develop and implement facility management and protection processes.

Industry

Civil engineering construction

Company size

10,000+ Employees

Headquarters location

Kansas City, MO, US

Year founded

1898

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