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Part Time Data Scientist Jobs in Texas (NOW HIRING)

T3i, Inc.

Data Engineer

San Antonio, TX

$103K - $124K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or ... part time, and independent contractor) and annual random drug screening for all current T3i ...

Jill Frisch

Remote Data Analyst

Dallas, TX · On-site +1

$50K - $63K/yr

Bachelor's degree in Analytics, Statistics, Mathematics, Economics, Finance, Computer Science or a ... Job Type: Full-time, Part-time What we offer: Compensation: Jill Frisch & Freeze Minimart has an ...

Arcadis

Business Data Analyst

Austin, TX · On-site

$80K - $105K/yr

A bachelor's degree in computer science, Statistics, Mathematics, Economics, Information Systems ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

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All JobsData Scientist JobsPart Time Data Scientist JobsPart Time Data Scientist Jobs in Texas

Part Time Data Scientist information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do part time data scientist jobs pay per year?

As of Aug 4, 2026, the average yearly pay for part time data scientist in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What does a part-time data scientist do?

A part-time data scientist’s skills and responsibilities are very similar to those of a data analyst. Like a data analyst, you have to collect and review company or industry data and then perform an analysis based on a business question the company wants to answer. You share this information with other parts of the enterprise. Where data scientists’ duties are different is that you use past data to build machine learning models. These machine learning models make predictions, and the goal is to identify trends that lead to a more thorough understanding of the business and its customers.

What is a part time data scientist?

A part time data scientist is a professional who applies statistical analysis, machine learning, and data processing skills to extract insights from data, but works fewer hours than a full-time employee—typically under 35 hours per week. Part time data scientists may work for one or more companies, often on flexible schedules or as contractors. Their responsibilities can include data cleaning, building predictive models, and presenting data-driven insights to help organizations make informed decisions. This role is ideal for those seeking work-life balance, students, or professionals looking to supplement their income.

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, proficiency in statistics, and experience with data modeling, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as knowledge of machine learning libraries, is often required. Excellent problem-solving, time management, and communication skills help you effectively deliver insights and collaborate despite reduced hours. These skills ensure you can provide high-impact, actionable analyses efficiently within a limited work schedule.

How does working part-time as a data scientist typically impact project involvement and collaboration with full-time team members?

As a part-time data scientist, you may be assigned to specific projects or tasks that fit within your available hours, often focusing on defined deliverables or analytical support roles. Collaboration with full-time colleagues is common, usually through regular meetings, shared documentation, and communication tools to ensure alignment. It's important to clearly communicate your schedule and capacity, as timely updates and hand-offs help maintain project momentum. While you might not be involved in every stage of a project, your specialized contributions are highly valued, and many organizations foster flexible, inclusive environments to integrate part-time professionals effectively.

What is the difference between Part Time Data Scientist vs Data Analyst?

AspectPart Time Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in Data Analysis, Statistics, or related field
Work EnvironmentFlexible hours, project-based, often remoteOffice or remote, regular hours, structured projects
Employer & Industry UsageTech companies, startups, consulting firmsBusiness, finance, marketing, healthcare
Common Search & ComparisonPart Time Data Scientist vs Data Analyst

Part Time Data Scientists focus on advanced analytics, machine learning, and modeling, often requiring higher technical skills and specialized knowledge. Data Analysts typically handle data cleaning, reporting, and visualization. While both roles analyze data, Part Time Data Scientists work on complex models and predictive analytics, whereas Data Analysts focus on descriptive insights. The choice depends on your skills and career goals within data roles.

More about Part Time Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Texas? The most popular types of Data Scientist jobs in Texas are:
What are popular job titles related to Part Time Data Scientist jobs in Texas? For Part Time Data Scientist jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Part Time Data Scientist jobs in Texas look for? The top searched job categories for Part Time Data Scientist jobs in Texas are:
What cities in Texas are hiring for Part Time Data Scientist jobs? Cities in Texas with the most Part Time Data Scientist job openings:
Part Time Data Scientist jobs near you
Infographic showing various Part Time Data Scientist job openings in Texas as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $114,350 per year, or $55 per hour.

Part-Time Faculty of Business Analytics - BAT 3302-1 - Data Science

Trinity

Olmos Park, TX

Part-time

Posted 4 days ago

Trinity Property Consultants rating

5.8

Company rating: 5.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

177th of 201 rated real estate companies

Job description

Job Family Group:

Faculty

Time Type:

Part time

Department/Office:

Finance and Business Analytics

Exemption Status:

Exempt

Job Description:

Trinity University is seeking a Part-Time Faculty for the Fall 2026 semester to teach the following course(s):
BAT3302-001: Data Science

DUTIES AND RESPONSIBILITIES

Typical responsibilities of part-time faculty members include but are not limited to:

  • Developing the course syllabus and ensuring that the syllabus meets departmental and University standards

  • Designing and delivering lectures, discussions, in-class activities, and assignments focused on the storage, retrieval, and analysis of data sets. This course places strong emphasis on data wrangling using Python and the practical application of specialized software, computational techniques, and algorithms to real-world business and analytical scenarios. The ideal candidate combines academic grounding in data science methods with hands-on industry experience applying these tools to solve practical problems.

  • Grading assigned papers, quizzes, and exams

  • Assigning early, midterm, and final grades in compliance with University deadlines

  • Maintaining office hours as directed by the department chair or program director

  • Making student accommodations as determined by the Office of Student Accessibility Services

  • Adhering to all instructional policies as published in the Faculty Handbook and the Courses of Study Bulletin

QUALIFICATIONS

EDUCATION

Required:

  • Master's degree in Data Science, Business Analytics, Computer Science, Statistics, or a closely related field

Preferred:

  • Ph.D. in Data Science, Business Analytics, Computer Science, Mathematics, Statistics, or a closely related field

EXPERIENCE

Required:

  • Professional or applied experience in data analysis, data wrangling, or working with large data sets

  • Proficiency in Python

Preferred:

  • Prior university-level teaching experience, particularly in analytics or data science courses

  • Evidence of impactful teaching practice demonstrated through submission of sample teaching materials and student evaluations.

  • Industry experience applying data science techniques to business decision-making

  • Familiarity with data visualization tools and learning management systems (e.g., Canvas, Blackboard)

KNOWLEDGE/SKILLS/ABILITIES

The ideal candidate will demonstrate:

  • Mastery of the relevant subject matter

  • Ability to deliver engaging lectures, discussions, or in-class activities

  • Ability to design rigorous and meaningful assignments

  • Commitment to the liberal arts mission of Trinity University

HOW TO APPLY

For internal applicants, please apply through Workday using the 'Jobs Hub' application, see instructions provided here.

For external applicants, when starting the application, select "Apply Manually." Only complete fields with a red asterisk, which are required. Please create your Workday application account using a personal email address, as you will need to maintain access to this account throughout the pre-hire process, if selected.

For all applicants, you do not need to complete the "(Work) Experience," "Education," "Certifications," or "Languages" fields - these details will be provided in your curriculum vitae.

In the "Application Documents" field, please upload the following four files, each as a separate pdf file [note: a maximum of five (5) files can be uploaded]:

File 1: Cover letter

File 2: Curriculum vitae or resume

File 3: Names and contact information for three professional references

File 4: Portfolio of teaching materials and student evaluations

CONTACT INFORMATION

All inquiries and questions should be addressed to Diana Young, Department Chair, dyoung1@trinity.edu.

Please ensure that all required documents are uploaded prior to submitting an application. If you have revisions needed to an application already submitted or need help submitting an application, please contact Human Resources at 210-999-7507 or email humanresources@trinity.edu.

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