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Part Time Data Science Jobs in New Mexico (NOW HIRING)

Data Engineer

Albuquerque, NM · On-site

$111K - $133.30K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Physical Therapist Assistant Part- Time

Deming, NM · On-site

$26.75 - $35.25/hr

... science or applied science that is approved by American Physical Therapy Association, Inc ... Message and data rates may apply. Message frequency varies. Reply 'Opt Out' at any time if you no ...

Physical Therapist Assistant Part- Time

Deming, NM · On-site

$26.75 - $35.25/hr

... science or applied science that is approved by American Physical Therapy Association, Inc ... Message and data rates may apply. Message frequency varies. Reply 'Opt Out' at any time if you no ...

Onsite Schedule: 24 Hours/Week (Parttime) About IQVIA IQVIA is a global leader in advanced ... Through scientific expertise, operational excellence, and cuttingedge technology, IQVIA is shaping ...

Lab Aide

Albuquerque, NM · On-site

$15/hr

Familiarity to process biochemical data using scientific software (e.g., Word, Powerpoint, Prism ... Type Term - Part-Time Term End Date 02/01/2026 Status Non-Exempt Pay Hourly: $15.00 Benefits ...

... Opportunity: Part time FTE: 0.50 Job Exempt: Yes Work Shift: Days (United States of America ... Support programlevel performance improvement by analyzing data, identifying trends, and ...

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Part Time Data Science information

See New Mexico salary details

$8

$40

$97

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

As of May 28, 2026, the average hourly pay for part time data science in New Mexico is $40.56, according to ZipRecruiter salary data. Most workers in this role earn between $13.30 and $60.25 per hour, depending on experience, location, and employer.

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 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 the most commonly searched types of Data Science jobs in New Mexico? The most popular types of Data Science jobs in New Mexico are:
What are popular job titles related to Part Time Data Science jobs in New Mexico? For Part Time Data Science jobs in New Mexico, the most frequently searched job titles are:
What cities in New Mexico are hiring for Part Time Data Science jobs? Cities in New Mexico with the most Part Time Data Science job openings:
Infographic showing various Part Time Data Science job openings in New Mexico as of May 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 67% Physical, 6% Hybrid, and 27% Remote job distribution, with an average salary of $84,370 per year, or $40.6 per hour.
Intern, R&D Undergraduate Year Round - ISE Planning Info/Data Systems, Hybrid

Intern, R&D Undergraduate Year Round - ISE Planning Info/Data Systems, Hybrid

Sandia

Albuquerque, NM • On-site

Part-time

Medical, Retirement, PTO

Posted 7 days ago


Job description

What Your Job Will Be Like
Sandia National Laboratories is seeking a highly motivated Intern to join our Integrated Security Environment (ISE) Data Science team. This internship offers a unique opportunity to apply data science techniques to support national security and advanced technology projects. The intern will work alongside experienced data scientists and engineers to analyze complex datasets, develop predictive models, and contribute to innovative solutions in a secure and collaborative environment. There is opportunity for working remotely as well as on site.
Key Responsibilities:
  • Assist in collecting, cleaning, and preprocessing large and complex datasets relevant to ISE projects.
  • Develop and implement data analysis and machine learning models to extract insights and support decision-making.
  • Visualize data and model results to communicate findings effectively to technical and non-technical stakeholders.
  • Collaborate with multidisciplinary teams to integrate data science solutions into broader project goals.
  • Document methodologies, results, and code to ensure reproducibility and knowledge sharing.
  • Follow Sandia's security, safety, and quality protocols throughout all activities.
  • Utilize and manipulate Excel spread sheets for input into the Data Monitoring System (DMS) to compile and generate technical reports, statistics, timelines, tables, and graphs; monitor project statuses and budgets and create presentations.
  • Support the DMS Team with configuration, documentation, metagroup control.

The selected applicant can work a combination of onsite and offsite work. The selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary.
Salary Range
At Sandia, we value the important work done by our interns and its contribution to National Security. Because of this, our interns earn competitive pay rates. Our pay structure is based on earned credit hours, classification, and degree level. Your pay rate will be determined during the hire process and included in your offer package. You can view the Intern Pay Rate chart here .
Qualifications We Require
You bring the confidence and skills to be eligible for the job by meeting these minimum requirements:
  • Earned bachelor's degree
  • Currently attending and enrolled full time in an accredited science, engineering, or math graduate program
  • Minimum cumulative GPA of 3.0/4.0
  • Ability to work up to 30 hours per week during the academic year, and up to 40 hours per week during the summer
  • Ability to secure and maintatin a U.S. security clearance which requires U.S. citizenship

Qualifications We Desire
  • Ability to learn quickly and handle multiple work assignments
  • Excellent organizational, communication and teaming skills
  • Strong desire to perform national security development work with a production focus
  • Strong foundation in statistics, machine learning, and data analysis.
  • Proficiency in programming languages such as Python, R, or similar.
  • Experience with big data tools and platforms (e.g., Data Monitoring System) is a plus.
  • Familiarity with cybersecurity or security-related data is beneficial.
  • Prior internship or project experience involving real-world data science applications.
  • Experience with data manipulation libraries (e.g., pandas, NumPy) and machine learning frameworks (e.g., scikit-learn, TensorFlow).

Posting Duration
This posting will be open for application submissions for a minimum of three (3) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.
About Our Team
Organization 2257 manages the Integrated Stockpile Evaluation (ISE) as a program driven to understand all aspects of stockpile systems to ensure that the nuclear weapon stockpile is known, with increasing certainty to be safe, secure, reliable and effective both now and into the future. ISE integrates a variety of stockpile evaluation programs and focuses on contributing to the transformation of US nuclear weapons stockpile and complex.
About Sandia
Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:
  • Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
  • Extraordinary co-workers
  • Some of the best tools, equipment, and research facilities in the world
  • Career advancement and enrichment opportunities
  • Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
  • Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov
*These benefits vary by job classification.
Security Clearance
Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.
Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.
EEO
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.
NNSA Requirements for MedPEDs
If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.
If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.