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

Registered Pharmacist (Part-Time)

Springfield, MO · On-site

$53 - $63.75/hr

Must have the ability to do logical or scientific thinking to solve problems; several abstract and ... data. Education and Experience: * College degree and licensure in pharmacy. * Must have continuing ...

Registered Pharmacist (Part-Time)

Springfield, MO · On-site

$53 - $63.75/hr

Must have the ability to do logical or scientific thinking to solve problems; several abstract and ... data. Education and Experience: * College degree and licensure in pharmacy. * Must have continuing ...

JANITOR

Springfield, MO · On-site

$16.50/hr

Schedule : Full time and part time schedules. Morning and evening shifts available. More details ... Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions:

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 ...

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 Jul 10, 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 the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to improve model performance efficiently.

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 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.

Is 40 too late for data science?

Part time data science roles are accessible at any age, including at 40, provided you have relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can enhance your prospects regardless of age.

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.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists with skills in programming, statistical analysis, and machine learning remain essential for developing and managing AI systems. The profession is evolving to include more focus on complex problem-solving, domain knowledge, and ethical considerations.

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.

Can you work part-time as a data scientist?

Yes, data science is a field that offers part-time opportunities, especially for freelance or contract roles. These positions often require skills in programming, statistics, and tools like Python or R, and may have flexible schedules to accommodate part-time work arrangements.
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:
Medical Technologist I - Part Time

Medical Technologist I - Part Time

Mercy

Springfield, MO

Part-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Mercy rating

6.4

Company rating: 6.4 out of 10

Based on 206 frontline employees who took The Breakroom Quiz

636th of 880 rated healthcare providers


Job description

Find your calling at Mercy! Performs and interprets analysis on patient specimens through the use of complex laboratory techniques. Provides medical staff with information to aid in patient diagnosis. Performs duties and responsibilities in a manner consistent with our mission, values, and Mercy Service Standards. Position Details:
Medical Technologist I (Part-Time)Join Mercy and Make a Difference Every Day

Mercy is seeking a skilled and detail-oriented Medical Technologist I to join our laboratory team on a part-time basis. In this role, you will perform and interpret complex laboratory testing on patient specimens, providing critical diagnostic information that directly impacts patient care. If you are passionate about laboratory science, quality, and delivering compassionate service, we invite you to apply.

At Mercy, we are committed to providing exceptional care while living out our mission, values, and Mercy Service Standards.

Position Summary

The Medical Technologist I performs routine and specialized laboratory testing using automated instrumentation and manual methodologies. This position is responsible for analyzing patient specimens, validating and reporting results, maintaining quality standards, troubleshooting laboratory equipment, and serving as a resource to healthcare professionals and laboratory staff.

Key ResponsibilitiesLaboratory Testing & Analysis
  • Perform routine and specialized laboratory testing on biological specimens using established procedures.
  • Accurately analyze, interpret, and report patient test results.
  • Evaluate specimen acceptability and prepare specimens for referral testing when required.
  • Recognize critical values, abnormal findings, and communicate results promptly to appropriate personnel.
  • Correlate test data and assess clinical significance to support patient diagnosis and treatment.
  • Investigate and resolve testing discrepancies or issues impacting result accuracy.
Quality Assurance & Compliance
  • Maintain compliance with laboratory, hospital, and regulatory standards.
  • Perform quality control procedures and document results accurately.
  • Monitor instrument performance and ensure the integrity of reagents and testing systems.
  • Document corrective actions and participate in continuous quality improvement initiatives.
  • Maintain accurate records, logs, and work-aid documentation.
Equipment & Technical Support
  • Perform preventive maintenance and basic troubleshooting on laboratory equipment.
  • Report instrument malfunctions and coordinate repairs with service representatives when necessary.
  • Participate in method validation, evaluation, research, and development activities.
  • Remain current on laboratory technologies, software systems, and procedures.
Collaboration & Communication
  • Serve as a laboratory resource for clinical and non-clinical staff.
  • Respond to inquiries regarding testing procedures, results, and interpretation.
  • Communicate information accurately, professionally, and in a timely manner.
  • Assist with training and education of students, new employees, coworkers, and non-laboratory personnel.
  • Stay informed on departmental communications, updates, and meeting information.
Inventory & Operational Support
  • Maintain adequate inventory of reagents, supplies, and laboratory consumables.
  • Receive, label, store, and organize supplies appropriately.
  • Coordinate laboratory resources to ensure uninterrupted service.
  • Prepare work areas and ensure readiness for subsequent shifts.
Safety & Risk Management
  • Adhere to infection prevention and control standards.
  • Follow chemical hygiene, safety, and confidentiality policies.
  • Maintain a safe, clean, and organized work environment.
  • Comply with hospital-wide and department-specific safety regulations.
  • Participate in quality improvement and risk management activities as needed.
QualificationsRequired Education
  • Bachelor’s degree in Medical Laboratory Science, Clinical Laboratory Science, or a related scientific field.
Required Experience
  • Up to three (3) years of acceptable clinical laboratory experience as a certified MLS/MT or equivalent.
  • New graduates who are certification-eligible are encouraged to apply.
Required Certification
  • Current Medical Technologist (MT) or Medical Laboratory Scientist (MLS) certification through ASCP or equivalent certifying organization.
  • Categorical certification will be considered where applicable.
Preferred Qualifications
  • Previous experience in a hospital or clinical laboratory setting.
  • Experience with automated laboratory instrumentation and laboratory information systems.
  • Strong problem-solving, troubleshooting, and critical-thinking skills.
  • Demonstrated commitment to quality, patient safety, and continuous improvement.
Why Mercy?

At Mercy, we believe in caring for the whole person—our patients and our coworkers alike. When you join Mercy, you'll become part of a compassionate team dedicated to excellence, collaboration, and making a meaningful impact on the lives of others every day.

Apply today and help us deliver exceptional care through laboratory excellence.

Why Mercy?

From day one, Mercy offers outstanding benefits - including medical, dental, and vision coverage, paid time off, tuition support, and matched retirement plans for team members working 32+ hours per pay period.

Join a caring, collaborative team where your voice matters. At Mercy, you'll help shape the future of healthcare through innovation, technology, and compassion. As we grow, you'll grow with us.


What Mercy employees say

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About Mercy

Sourced by ZipRecruiter

Our mission is clear. We bring to life a healing ministry through our compassionate care and exceptional service. At Mercy, we believe in careers that match the unique gifts of unique individuals - careers that not only make the most of your skills and talents, but also your heart.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Chesterfield, MO, US

Year founded

1827