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

Activities will include performing field tasks, analyzing data, drafting reports and permit ... This position can be either full-time or part-time, and can be based in Austin , Houston , San ...

JANITOR

El Paso, TX · On-site

$14/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 ...

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 ...

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 (FULL TIME)

El Paso, TX · On-site

$14.65/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 ...

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 ...

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 ...

FLOOR TECHNICIAN

El Paso, TX · On-site

$14.65/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 ...

JANITOR

El Paso, TX · On-site

$14.65/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

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 El Paso, TX?

The most popular types of Data Science jobs in El Paso, TX are:

What cities near El Paso, TX are hiring for Part Time Data Science jobs?

Cities near El Paso, TX with the most Part Time Data Science job openings:

Infographic showing various Part Time Data Science job openings in El Paso, 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 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Information Technology Quality Assurance Instructor (Part-time)

El Paso Community College Cafe

El Paso, TX • On-site

Part-time

Re-posted 20 days ago


Job description

Location : District Wide, El Paso, TX
Job Type: Part-time
Job Number: PT Pool 2026-2027
Division: VP Instruction & Workforce Education
Department: Center for Corporate & Workforce Training
Opening Date: 07/01/2026
Closing Date: 6/30/2027 11:59 PM Mountain
Employee Classification: Faculty
Position Grade: N/A
Job Summary
Responsible for providing instruction in accordance with the philosophy and objectives of the College. In-person work on campus is an essential function of this position.
Essential Functions
Adhere to approved course syllabus.
Provide students with the course syllabus that informs them of course requirements including specific objectives, means of attaining those objectives and methods of evaluation by the end of the first week of classes.
Use teaching methods which are appropriate to reach students of varying educational experiential backgrounds and learning styles. Allow the student to continually assess his/her own progress. Allow reasonable opportunity for each student to master the objectives of the course.
Submit syllabi and/or addendums to the Division Office by the end of the first week of class. Post and maintain office hours as per institutional guidelines. Make provisions for students to evaluate instruction and arrange for submission of evaluation to the designated office.
Participate in faculty orientation sessions, professional development seminars and activities to enhance professional development. Accept the responsibility for professional awareness and growth. Acknowledge and support the community college's mission to serve the community.
Perform all other duties appropriate to this position as assigned or directed.
Qualifications
Required Qualifications:
1. Bachelor's Degree in Computer Science or Information Technology and three (3) years of work related experience exclusive of teaching.
NOTE: A copy of the transcript reflecting this required education MUST be submitted for consideration and reflect completed coursework and degrees conferred. The candidate must be fully qualified for the position at the time of application.
2. Experience teaching in the discipline.
3. Experience/ability to teach at the community college level.
4. Experience/ability to incorporate technology into the classroom.
5. Working knowledge in the following areas:
Quality Assurance Fundamentals
Introduction to Structured Query Language
Quality Principals and Concepts
Test Planning, Design, and Execution
Test Automation Tools, Methods, and Scripting
Code Deployment Fundamentals
Data Analytics Fundamentals
Special Conditions:
1. The El Paso Community College is building a pool of Applicants for part-time faculty. Faculty are hired in a part-time capacity on a semester-by-semester basis, contingent upon the needs of the District. EPCC accepts application materials year-round from qualified applicants willing to teach on a part-time basis. Part-time faculty hiring is based on college need. We offer day, evening, and weekend classes. Classes are offered at various times and locations during the academic year. This pool will be accessed when an opening arises. Your application will remain active for approximately one (1) year from July 2026 to June 2027. After this time, you will need to re-apply if you are still interested in remaining a part of the pool.
2. This is a security-sensitive position as defined under the Texas Education Code, Section 51.215; the successful applicant will be required to undergo a criminal background check, as permitted and/or required by applicable law, and in accordance with the College's policies and procedures.
Other Requirements
Individuals desiring consideration MUST complete and submit an EPCC Application for Employment on-line by the announced deadline.
COPIES OF ACADEMIC TRANSCRIPTS MUST BE uploaded with the application. CURRENT EMPLOYEES ARE ALSO REQUIRED TO UPLOAD THEIR TRANSCRIPTS WITH EACH SUBMITTED APPLICATION; TRANSCRIPTS IN PERSONNEL FILES CANNOT BE ACCESSED BY EVALUATORS FOR THIS PURPOSE. Only documents stating 'Transcript' or 'Unofficial Transcript' will be accepted. Other documents (Degree Audit, Degree Summary, Program Summary, etc.), uploaded in lieu of transcripts will not be accepted.
If you are unable to attach your transcripts to your application, please mail your transcripts to El Paso Community College, Employment Services, P.O. Box 20500, El Paso, TX 79998. Mailed documents MUST include the position title and posting number for this position vacancy.
A letter of application, resume, letters of recommendation, and other supporting documents are optional but highly encouraged and may be submitted on-line with the application form or forwarded to the Human Resources Department at El Paso Community College, Employment Services, P.O. Box 20500, El Paso, TX 79998. Mailed documents must be received by the application deadline. Documents received after the application deadline will not be accepted.
Copies of transcripts must reflect completed coursework and conferred degrees. All academic coursework and degrees must be from an accredited college or university or be certified by an acceptable agency that the institution is recognized by the appropriate governmental agency in its home country (this is generally stated in the degree evaluation).
Transcripts issued in a language other than English must be accompanied by a full translation (word for word) by a current member of the National Association of Credential Evaluation Services (NACES). Additionally, each foreign transcript must be evaluated for equivalency to United States accredited coursework.
Applications containing foreign transcripts that are not accompanied with the above required documentation will not be considered.
In accordance with federal law and as a condition of employment, the successful candidate must furnish documentation verifying employment authorization eligibility and identity before being employed.
The El Paso County Community College District does not discriminate on the basis of race, color, national origin, religion, sex, age, disability and veteran status.