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Junior Machine Learning Jobs in Missouri (NOW HIRING)

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 ...

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 ...

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 ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... junior staff while upholding remarkable standards of quality and innovation in deliverables.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... junior staff while upholding remarkable standards of quality and innovation in deliverables.

... machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis. Experience with database technologies, including Oracle, SAP, DB2 ...

... machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis. Experience with database technologies, including Oracle, SAP, DB2 ...

Mentor junior data scientists, providing technical guidance and fostering a culture of continuous ... Champion production-grade machine learning practices, promoting scalable code and robust deployment ...

Mentor and guide junior data scientists and team members. What you'll bring: * Proven leadership ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Data Scientist III

Anderson, MO · On-site

$90K - $180K/yr

... junior team members. Proficiency in programming, data management, and visualization tools is ... Apply advanced statistical, machine learning, and agentic AI techniques to develop and validate ...

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Junior Machine Learning information

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 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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise with tools like TensorFlow or PyTorch, and may require multiple years of experience and relevant certifications.

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 engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of specialized experience and a strong track record of impactful projects.

Can I get an AI job with no experience?

Entry-level machine learning roles, such as Junior Machine Learning positions, often require some foundational knowledge of programming, mathematics, and data analysis. While prior experience is beneficial, candidates can improve their chances by completing relevant online courses, building projects, and gaining familiarity with tools like Python and TensorFlow.

Which 3 jobs will survive AI?

Junior Machine Learning roles are likely to persist as they require specialized knowledge, critical thinking, and domain expertise that AI cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and machine learning engineers, are also expected to remain in demand. Continuous learning and adapting to new tools will be essential for these roles to stay relevant.

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

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 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:
Infographic showing various Junior Machine Learning job openings in Missouri as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Senior, Data Scientist - Membership Insights (Contact Center)

Sam's Club

Anderson, MO • On-site

$90K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description

Position Summary...At Sam’s Club, we’re member obsessed — and data powered. As a Senior Data Scientist - Membership Insights (Contact Center), you will leverage advanced analytical techniques and domain expertise to identify, develop, and deploy data-driven solutions that support strategic business objectives. This role involves designing and validating predictive models, ensuring data quality, and collaborating with cross-functional teams to translate complex business challenges into actionable insights. You will also mentor junior associates, contribute to data strategy, and support scalable model deployment. Your expertise in statistical analysis, machine learning, and data visualization will drive informed decision-making and enhance operational effectiveness across the organization.
About the team:
The Contact Center Data Science team, part of the Member Insights organization, develops advanced statistical and machine learning models to enhance understanding and prediction of member behavior. The team focuses on optimizing Voicebot and Chatbot performance through data-driven experimentation and behavioral analysis. It also creates dashboards to monitor key performance indicators, enabling detailed tracking and operational insight across contact center workflows. This collaborative team leverages expertise in data science, predictive analytics, and visualization to support informed decision-making and continuous improvement in member engagement strategies. What you'll do...
  • Identify and source relevant data from multiple business domains and databases to support analytical initiatives.
  • Build and train AI/ML models with a focus on scalability and reusability.
  • Conduct thorough data quality assessments and ensure data integrity for accurate model development.
  • Develop, test, and validate advanced predictive models using statistical and machine learning techniques.
  • Deploy scalable analytical models into production environments, ensuring performance and sustainability.
  • Create clear and impactful data visualizations to communicate insights to stakeholders and influence decision-making.
  • Translate complex business problems into data-driven solutions aligned with organizational strategy.

What you'll bring:
  • 5+ years of experience in data science, with a proven track record of leading projects.
  • Strong expertise in machine learning techniques including classification, regression, NLP, forecasting, and optimization.
  • Proficiency in Python and PySpark and data visualization tools such as Matplotlib, Plotly, or Tableau.
  • Strong skills in exploratory data analysis, data wrangling, and predictive analytics to derive actionable business insights.
  • Experience with cloud platforms such as GCP or Azure.
  • Collaborate with cross-functional teams to gather, validate, and synthesize data into analytics-ready datasets.
  • Knowledge of natural language processing and decision tree learning techniques.
  • Ability to assess, validate, and deploy analytical models with attention to scalability and performance.
At Sam's Club, 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, parental leave, family care leave, bereavement, jury duty, and voting. 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.
- Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Live Better U is a company 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 Regional Pay Zone (RPZ) (based on location).

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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... 2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, 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.