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Part Time Data Science Jobs in Iowa (NOW HIRING)

Palmer Group

Laboratory Technician

Des Moines, IA

$19/hr

In addition to meaningful work, you would gain hands-on experience with advanced scientific ... Collect, organize and accurately record experimental data and findings * Conduct germination ...

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Part Time Data Science information

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.
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Part Time Data Science jobs near you
Part-Time Temporary Virtual Lab Systems Coordinator

Part-Time Temporary Virtual Lab Systems Coordinator

Des Moines Area Community College

Ankeny, IA • On-site, Remote

$50/hr

Full-time, Part-time, Temporary

This job post has expired today. Applications are no longer accepted.

Job description

Position Details
Position Information
Job Title
Part-Time Temporary Virtual Lab Systems Coordinator
Campus
Ankeny Campus, IA
Job Number
26-T54
Employment Date
As soon as possible.
Job Category
Part-time Temporary Staff Positions
Application & Position Information Call
Michelle Ruse at mereuse@dmacc.edu or (515) 248-7500.
Posting Detail Information
Salary Information
$50.00 per hour.
Job Summary
Part-Time Temporary Instructional Systems Coordinator to oversee the strategic planning, management, and maintenance of software and hardware supporting the organization's information and systems security and the design, deployment, and operation of virtual and physical instructional lab environments. This role ensures compliance with cybersecurity best practices and institutional policies; manages license compliance; collaborates with faculty to meet instructional and research needs; and leads budgeting, procurement, vendor coordination, documentation, and performance monitoring to maximize availability, security, and value.
Essential Functions
Security Strategy & Governance Procedures
  • Oversee the strategic planning, management, and maintenance of software and hardware related to information and systems security across departmental environments.
  • Ensure alignment with institutional policies, regulatory obligations, and cybersecurity best practices (configuration baselines, hardening, patching, identity/access controls, logging, and backup/restore).

Instructional Infrastructure & Virtualization
  • Manage and maintain virtual lab environments using virtualization platforms to support large-scale computing assets and cloud resources.
  • Configure, secure, and administer instructional computing infrastructure (physical and virtual), ensuring reliable, secure access for courses and research.
  • Collaborate with faculty to design, deploy, and optimize lab environments that meet pedagogical and research requirements.
  • Monitor system performance and troubleshoot technical issues across cloud, network, and hardware resources, providing timely resolutions to minimize downtime.

Asset, License & Vendor Management
  • Monitor and record software and hardware licenses to ensure compliance with vendor contracts and effective lifecycle management.
  • Oversee budgets for virtualization and related technologies; track expenditures and prepare cost analyses to support efficient resource allocation.
  • Evaluate and recommend procurement of physical hardware and software solutions, ensuring compatibility and alignment with departmental goals.
  • Coordinate with external contractors and vendors for installation, maintenance, and support of specialized equipment and services; maintain professional, tactful relationships.

Documentation, Communication & Collaboration
  • Develop and maintain documentation for system configurations, security protocols, standard operating procedures (SOPs), and research process guidelines to ensure continuity and knowledge transfer.
  • Communicate clearly with diverse stakeholders (faculty, staff, students, vendors); provide training, briefings, and guidance on lab usage, security practices, and changes.

Required Qualifications
Bachelor's degree in Computer Science, Engineering, Computer Networking, Information Systems, or a closely related field and 3 years of related work experience;
OR an Associate's degree and 5 years of related work experience.
Strong working knowledge of current IT technologies, including operating systems (Windows/Linux), networks, virtualization (Proxmox specifically), AI services/models, and cloud fundamentals and Azure administration.
Must be able to lift/move equipment and work within lab, classroom, and data center environments.
Demonstrated experience managing virtual lab environments and administering instructional computing infrastructure and enterprise hardware.
Experience monitoring and managing software/hardware license compliance with vendor contracts.
Strong communication skills, with the ability to explain complex technical matters to nontechnical audiences.
Ability to plan, organize, and manage time effectively across concurrent projects and maintenance windows.
Demonstrated ability to establish and maintain professional working relationships with individuals from various backgrounds.
Ability to deal tactfully with vendors, suppliers, and contractors who provide a broad spectrum of products and services.
Desired Qualifications
Experience with cloud services (e.g., Azure/AWS/GCP) and identity platforms (e.g., Active Directory, Entra ID/Azure AD).
Hands on experience with major virtualization platforms (e.g., VMware, HyperV, Proxmox), Containerization (e.g., Docker, Kubernetes) and infrastructure-as-code/automation (e.g., PowerShell, Ansible).
Background in budgeting, cost optimization, and capacity planning for labs and compute resources.
Experience creating and maintaining technical documentation and SOPs for academic or instructional environments.
Relevant certifications such as CompTIA Security+, Network+/Cisco CCNA, Server+, Microsoft/Azure Administrator, or VMware VCP.
Work Schedule
Days and time to be determined. 1,250 hours per year. Primarily on-site with scheduled maintenance windows that may occur during off-hours.
Posting Date
04/10/2026
Deadline for Submitting Applications
Open Until Filled
Special Instructions to Applicants
DMACC is an Affirmative Action/Equal Employment Opportunity employer. Individuals with disabilities desiring a reasonable accommodation in the application process should notify Human Resources at 515-964-6479 or by email jobs@dmacc.edu.
THIS VACANCY REQUIRES: 1) A complete DMACC Employment Application in English (personal information, educational history, employment history, and supplemental questions). Incomplete applications and commenting "See Resume" will not be accepted. The application form will be used to screen applicants for required qualifications. 2) Attachment of transcripts to your electronic application (if required). Transcripts must include the applicant's name and degrees conferred. Scanned copies are acceptable.
Must be legally eligible to work in the United States without employer sponsorship.
Quick Link
https://jobs.dmacc.edu/postings/14589

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