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Part Time Data Science Jobs in Springfield, MO (NOW HIRING)

Industry experience in computing, information technology, cybersecurity, software development, data science, or related areas. Employment Status * Adjunct (part-time), non-tenure-track faculty ...

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... ESFM's clients include many household names from Life Science, Technology, Oil & Gas and ...

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... ESFM's clients include many household names from Life Science, Technology, Oil & Gas and ...

JANITOR

Springfield, MO · On-site

$17/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... ESFM's clients include many household names from Life Science, Technology, Oil & Gas and ...

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... ESFM's clients include many household names from Life Science, Technology, Oil & Gas and ...

Part Time Data Science information

See Springfield, MO salary details

$7

$39

$94

How much do part time data science jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for part time data science in Springfield, MO is $39.41, according to ZipRecruiter salary data. Most workers in this role earn between $12.92 and $58.54 per hour, depending on experience, location, and employer.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.

What are part-time data science jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

What are the key skills and qualifications needed to thrive as a part-time data scientist, and why are they important?

To thrive as a Part Time Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

What are the most commonly searched types of Data Science jobs in Springfield, MO?

The most popular types of Data Science jobs in Springfield, MO are:

What are popular job titles related to Part Time Data Science jobs in Springfield, MO?

For Part Time Data Science jobs in Springfield, MO, the most frequently searched job titles are:

What job categories do people searching Part Time Data Science jobs in Springfield, MO look for?

The top searched job categories for Part Time Data Science jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Part Time Data Science jobs?

Cities near Springfield, MO with the most Part Time Data Science job openings:

Infographic showing various Part Time Data Science job openings in Springfield, MO as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $81,966 per year, or $39.4 per hour.

Adjunct Faculty, Computing

Career Search

Bolivar, MO • On-site

Part-time

Posted 14 days ago


Job description

Position Summary

Southwest Baptist University invites applications for an Adjunct Faculty position in Computing. Primary teaching responsibilities will be delivered online, although in-person teaching can also be considered. The successful candidate will demonstrate excellence in teaching, a commitment to student success, and support for the mission of a Christ-centered university.

Essential Responsibilities

  • Teach assigned courses in computing-related disciplines, which may include:
    • Artificial Intelligence
    • Information Technology
    • Information Systems
    • Computer Science
    • Cybersecurity
    • Data Science
    • Software Development
    • Networking and related fields
  • Prepare and deliver engaging course materials aligned with departmental learning outcomes.
  • Maintain regular communication with students and provide timely feedback on assignments and assessments.
  • Foster a positive learning environment that encourages academic excellence, critical thinking, and ethical decision-making.
  • Maintain accurate course records and submit grades in accordance with university policies and deadlines.
  • Utilize the university's learning management system and instructional technologies effectively.
  • Support the mission and values of Southwest Baptist University through professional conduct and Christ-centered teaching practices.

Required Qualifications

  • Master's degree in a computing-related field such as:
    • Information Technology
    • Information Systems
    • Computer Science
    • Cybersecurity
    • Data Science
    • Software Engineering
    • Computer Engineering
    • Or a closely related computing discipline
  • Enrolled in, actively pursuing, or completed a Ph.D. in a computing-related field.
  • Demonstrated expertise in one or more computing disciplines relevant to the university curriculum.
  • Strong written, verbal, and interpersonal communication skills.
  • Commitment to student learning and academic excellence.

Faith and Mission Requirements

As a Christ-centered institution, Southwest Baptist University seeks faculty who actively support and promote its Christian mission.

Candidates must:

  • Demonstrate a commitment to Christian values and higher education.
  • Integrate faith and learning in a manner consistent with the mission and values of Southwest Baptist University.

Preferred Qualifications

  • Prior college-level teaching experience.
  • Experience teaching in online, hybrid, and/or traditional classroom environments.
  • Professional certifications relevant to computing disciplines.
  • Industry experience in computing, information technology, cybersecurity, software development, data science, or related areas.

Employment Status

  • Adjunct (part-time), non-tenure-track faculty appointment.
  • Courses assigned on a semester-by-semester basis according to departmental needs and faculty expertise.