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

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... a fast‐moving life sciences environment. This is a part-time internship role. Key ... Contribute to automation, data processing, and workflow optimization initiatives * Research and ...

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... a fast‐moving life sciences environment. This is a part-time internship role. Key ... Contribute to automation, data processing, and workflow optimization initiatives * Research 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 ...

Job Type Part-time Description Responsibilities: Perform air traffic control duties as a full ... Data, and Clearance Delivery • Fulfill assigned duties as Controller-in-Charge • Train other ...

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Part Time Data Science information

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$45

$109

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

As of Aug 19, 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 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 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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $94,608 per year, or $45.5 per hour.

Software Engineer Intern

Sycamore Life Sciences, LLC

Houston, TX • On-site

$15 - $18/hr

Part-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Location: Houston, TX (In Office)
Employment Type: Internship

About the Role
Sycamore Life Sciences is seeking a motivated and curious Computer Software Engineer Intern to support the development of internal tools, automation workflows, and customer‐facing applications. This role is ideal for someone who enjoys solving complex problems, learning quickly, and contributing to real-world software initiatives in a fast‐moving life sciences environment. This is a part-time internship role.


Key Responsibilities
• Assist in designing, developing, testing, and deploying software applications and internal tools
• Support integration of APIs, databases, and third‐party services into existing systems
• Collaborate with engineering, product, and operations teams to translate business needs into technical solutions
• Participate in code reviews, documentation, and sprint planning
• Troubleshoot and resolve software bugs and performance issues
• Contribute to automation, data processing, and workflow optimization initiatives
• Research and prototype emerging technologies relevant to the organization’s needs
Preferred Skills & Experience
• Working toward a degree in Computer Science, Software Engineering, or a related field
• Strong foundation in programming languages such as Python and JavaScript
• Familiarity with web frameworks (React, Node.js, Django, Flask, etc.)
• Understanding of databases (SQL or NoSQL) and API integrations
• Experience with version control (Git)
• Strong analytical, problem‐solving, and communication skills
• Ability to work independently and in a collaborative team environment
Highly Desired Experience
• Hands‐on experience with GPT tools and GPT APIs in building applications is greatly desired
(e.g., prompt engineering, API integration, workflow automation, or AI‐powered feature development)
What You’ll Gain
• Exposure to real-world software engineering in a growing life sciences organization
• Experience working cross‐functionally with technical and operational teams
• Opportunities to contribute to meaningful projects with direct business impact
• Mentorship from experienced engineers and leaders
• A fast-paced, supportive environment that encourages learning and innovation

Company Description

Established in 2015, Sycamore Life Sciences is a Houston based, Fast Growing distributor focused on providing the best selection of laboratory consumables, reagents and lab equipment. We are building the world’s largest marketplace focused primarily on laboratory sample preparation workflows. Our mission is to provide the scientist with a delightful, efficient, and purpose-built buying experience to earn their recurring business.