ZipRecruiter

Log In

1

Data Science Teaching Assistant Jobs in Missouri

Walmart

(USA) Senior, Data Scientist

Anderson, MO · On-site

$90K - $180K/yr

We empower team members, stores, and merchants by leveraging data science and advanced analytics ... assistants for analytics enablement. * Design and train large-scale neural networks for time series ...

TAMKO

Manufacturing Data Scientist

Joplin, MO · On-site

Key Responsibilities: * Assist in the scoping, execution, and completion of projects that align ... Bachelor's degree in Mathematics, Science, Engineering, Computer Science, Data Science, Statistics ...

Walmart

Staff, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

... data science, machine learning, and agentic AI to solve high-impact business problems across ... Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ...

Walmart

Staff, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

... data science, machine learning, and agentic AI to solve high-impact business problems across ... Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ...

Walmart

Staff, Data Scientist

Cassville, MO · On-site

$110K - $220K/yr

... data science, machine learning, and agentic AI to solve high-impact business problems across ... Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ...

previous page

Showing results 41-60

All JobsData Science Teaching JobsData Science Teaching Assistant JobsData Science Teaching Assistant Jobs in Missouri

Data Science Teaching Assistant information

What is a data science teaching assistant?

Data Science Teaching Assistants (TAs) support instructors and students in data science courses or bootcamps. They help clarify complex concepts, assist with coding exercises, answer student questions, and sometimes grade assignments or provide feedback. TAs often have a strong foundation in programming, statistics, and data analysis, and they play a key role in enhancing the learning experience. Their involvement can range from leading small group sessions to providing one-on-one help during office hours.

What skills and qualifications are needed to be a data science teaching assistant?

To thrive as a Data Science Teaching Assistant, you need a solid understanding of data science concepts, programming (especially Python or R), statistics, and often a relevant degree or coursework. Familiarity with tools such as Jupyter Notebooks, data visualization libraries, and version control systems like Git is typically required. Strong communication, patience, and the ability to explain complex topics clearly are standout soft skills in this role. These skills enable effective student support, reinforce learning outcomes, and contribute to a positive educational environment.

What challenges do data science teaching assistants face when supporting student learning, and how can they be addressed?

Data Science Teaching Assistants often encounter challenges such as explaining complex concepts in accessible ways, managing diverse student skill levels, and providing timely feedback on assignments. To address these challenges, it's important to use clear examples, encourage open communication, and adapt explanations to different learning styles. Collaborating closely with course instructors and leveraging office hours or online discussion forums can also help TAs support students more effectively and ensure no one falls behind.

What is the difference between Data Science Teaching Assistant vs Data Analyst?

AspectData Science Teaching AssistantData Analyst
Required CredentialsOften a degree in data science, statistics, or related field; familiarity with data toolsDegree in statistics, data analysis, or related field; proficiency in data tools
Work EnvironmentEducational settings, labs, online coursesBusiness, corporate, or research environments
Employer & Industry UsageUniversities, online education platformsCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding teaching roles in data science educationUnderstanding data analysis tasks and roles

While both roles involve working with data and require similar technical skills, a Data Science Teaching Assistant primarily supports educational activities, assisting instructors and students in learning data science concepts. In contrast, a Data Analyst focuses on analyzing data to generate insights for business decisions. The roles differ mainly in their work environment and primary objectives, though they share foundational data skills.

How to become a data science teaching assistant?

To become a data science teaching assistant, candidates typically need a strong background in data science, statistics, or related fields, along with proficiency in programming languages like Python or R. Relevant experience with data analysis, machine learning, and teaching or mentoring skills are also important, and some positions may require a graduate degree or teaching experience. Gaining familiarity with tools such as Jupyter notebooks and SQL can enhance qualifications.

What are popular job titles related to Data Science Teaching Assistant jobs in Missouri?

For Data Science Teaching Assistant jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Data Science Teaching Assistant jobs in Missouri look for?

The top searched job categories for Data Science Teaching Assistant jobs in Missouri are:

What cities in Missouri are hiring for Data Science Teaching Assistant jobs?

Cities in Missouri with the most Data Science Teaching Assistant job openings:

Data Science Teaching Assistant jobs near you

Data Scientist 728

(EDO) Entertainment Data Oracle, Inc.

Saint Louis, MO • On-site

$120 - $180/hr

Other

Medical, Life, Retirement, PTO

Posted 26 days ago

Key responsibilities

  • Develop statistical and analytical models for structured and unstructured datasets

  • Perform exploratory data analysis and identify meaningful patterns and anomalies

  • Collaborate with software engineers to operationalize analytical capabilities

Job description

Job Summary

Freedom Technology Solutions Group is seeking a Data Scientist to support mission‑critical intelligence analysis and geospatial data exploitation. You will develop analytical models, statistical methodologies, and data‑driven solutions that transform large, complex datasets into actionable intelligence. Working alongside software engineers, cloud architects, and mission analysts, you will design models that improve discovery, correlation, prediction, and operational decision‑making across secure cloud environments.

This is a hands‑on role requiring curiosity, analytical rigor, and the ability to translate mission problems into scalable analytical solutions.

Responsibilities
  • Develop statistical and analytical models for structured and unstructured datasets
  • Perform exploratory data analysis and identify meaningful patterns and anomalies
  • Analyze imagery metadata, geospatial data, and operational datasets
  • Evaluate model accuracy and continuously improve performance
  • Collaborate with software engineers to operationalize analytical capabilities
  • Develop dashboards, reports, and visualizations to communicate findings
  • Document methodologies and present technical results to mission stakeholders
  • Work with cloud‑native data platforms supporting secure government environments
  • Support computer vision, NLP, and geospatial AI initiatives
  • Collaborate with architects, data scientists, and mission stakeholders to gather, document, and refine customer requirements, including data mapping and integration needs
  • Assist in implementing integration solutions in collaboration with development team members
  • Facilitate communication between stakeholders to ensure timely and effective requirements execution
  • Ensure activities align with established processes, standards, and mission objectives
  • Contribute to documentation of processes, procedures, integration patterns, and lessons learned
Key Technologies
  • Python
  • NumPy
  • SciPy
  • Jupyter
  • SQL
  • Docker
  • ArcGIS / QGIS
  • Data visualization (Plotly, Matplotlib, Tableau, Power BI)
Required Qualifications
  • An active TS/SCI clearance (eligible for CI Poly)
  • 1-3 (Junior), 3–7 (Journeyman), 8-11 (Senior), >12 (Principal) years of experience in software development, system integration, or technical support roles
  • Experience working directly with customers or stakeholders in a technical or mission environment
  • Strong communication and coordination skills across technical and non‑technical teams
  • Experience gathering and documenting requirements
  • Ability to manage multiple tasks and priorities in a dynamic environment
  • Familiarity with Agile development practices
  • Experience using GitLab or similar tools for collaboration and tracking
Desired Qualifications
  • Experience with geospatial analytics
  • Experience with imagery exploitation
  • Knowledge of machine learning
  • Understanding of cloud‑native analytics
  • Intelligence Community experience
  • Experience working with large‑scale operational datasets
  • AWS services
  • Experience processing satellite imagery
  • Familiarity with secure data movement environments
  • Experience working with enterprise service processes such as Service+
  • Experience with data mapping or integration workflows (using JSON or other object notation)
  • Familiarity with operational dashboards and metrics reporting
  • Experience supporting customer requirement implementation and/or system integration efforts
Benefits
  • Matching 401(k) and fully paid medical and life and disability coverage
  • Generous paid time off, including paid site‑closure days
  • Competitive salary and paid training and tuition reimbursement
  • Flexible work environment and supportive team culture
  • Opportunities for career growth and advancement
  • Work‑life balance and professional development support
Equal Opportunity Employer

As an Equal Opportunity Employer, we do not discriminate on the basis of race, color, religion, sex, age, marital status, disability or veteran status.

#J-18808-Ljbffr

Apply