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Part Time Data Science Jobs in Houston, TX (NOW HIRING)

MedTech

Houston, TX · On-site

$34 - $36/hr

We believe in pushing the boundaries of human science and data science to make the biggest impact ... part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of ...

Telework Type: Part-Time Telework * Work Location: Houston, TX Extraordinary teams building ... Management, Data Science, or a related quantitative/technical field and 8-10 years of relevant ...

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Part Time Data Science information

See Houston, TX salary details

$9

$45

$109

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

As of Jul 29, 2026, the average hourly pay for part time data science in Houston, TX is $45.48, according to ZipRecruiter salary data. Most workers in this role earn between $14.91 and $67.56 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 Houston, TX? The most popular types of Data Science jobs in Houston, TX are:
What are popular job titles related to Part Time Data Science jobs in Houston, TX? For Part Time Data Science jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Part Time Data Science jobs in Houston, TX look for? The top searched job categories for Part Time Data Science jobs in Houston, TX are:
What cities near Houston, TX are hiring for Part Time Data Science jobs? Cities near Houston, TX with the most Part Time Data Science job openings:
Infographic showing various Part Time Data Science job openings in Houston, TX as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $94,608 per year, or $45.5 per hour.

Part-Time Faculty - Computer Information Tech Artificial Intelligence (South)

San Jacinto College

Houston, TX • On-site

Full-time, Part-time

Re-posted 12 days ago


San Jacinto College rating

8.9

Company rating: 8.9 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

35th of 612 rated colleges and universities


Job description

Part-Time Faculty - Computer Information Tech Artificial Intelligence (South)
Teaching Computer Information Technology Artificial Intelligence related coursework.
Additional Responsibilities:
  • Develop syllabi and materials, including laboratory activities, aligned with state, college, and departmental standards.
  • Participate in the design of course content and materials that cover emerging trends in artificial intelligence, information technology, and cybersecurity.

Applications for part-time faculty positions are accepted on a continuous basis and reviewed if openings become available. These positions are not current vacancies. Instructors employed as part-time faculty are not entitled to all the rights, privileges, and benefits of regular, full-time employees. Part-time faculty are hired on an "as needed" basis and will work for the duration of time specified by the respective course. A portion of teaching assignment may be evening classes and possibly weekend classes. Faculty are assigned to teach courses using various delivery methods based on the teaching area and the needs of students and the College, which may require a physical presence at the assigned on-site work location.
Required Education:
  • Bachelor's degree in Artificial Intelligence, Computer Science, Data Science, Information Technology, or a closely related discipline.

Required Experience:
  • 3 years of full-time work experience in AI, machine learning, data analytics, or related fields.
  • Practical experience with AI tools and frameworks (e.g., Python, TensorFlow, PyTorch).
  • Familiarity with data governance, compliance standards, and AI ethics.

Preferred Education:
  • Master's degree in AI or related field.

Preferred Experience:
  • College-level teaching experience.
  • Five or more years of professional experience in AI or related domains.
  • Experience in deploying AI solutions in organizational settings.

Preferred Licenses and Certifications:
  • AI/ML-related certifications (e.g., TensorFlow Developer, AWS Certified Machine Learning Specialty).
  • Data governance or compliance certifications.

Salary Grade: AH
Salary is based on the Board-approved salary schedule for the current fiscal year. See Salary Schedule
Requisition Number: req6167
Posting Close Date: 8/31/2026 at 6 pm CST

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