2

Part Time Data Science Military Jobs (NOW HIRING)

$2.7K/wk

Position Status Part Time Posting Number 25FA1013 Posting Open Date Posting Close Date ... for military service, protected veteran status, affectional or sexual orientation, atypical ...

Lecturers, Data Science

Camden, NJ ยท On-site

$2.7K/wk

Position Status Part Time Posting Number 25FA1013 Posting Open Date Posting Close Date ... for military service, protected veteran status, affectional or sexual orientation, atypical ...

Data Scientist

Alexandria, VA ยท On-site

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Knowledge of Military Services and Combatant Commands * Possession of excellent verbal and written ...

Data Scientist

Washington, DC ยท On-site

$112K - $257K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Lecturers, Data Science

Camden, NJ ยท On-site

$2.7K/wk

Position Status Part Time Posting Number 26FA0415 Posting Open Date Posting Close Date ... for military service, protected veteran status, affectional or sexual orientation, atypical ...

Data Scientist, Mid

Reston, VA ยท On-site

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Fayetteville, NC ยท On-site

$99K - $225K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Data Science Military information

What are part-time data science roles in the military?

Part-time data science roles in the military involve analyzing and interpreting complex data to assist with decision-making, mission planning, and operational efficiency. These positions may include tasks such as data cleaning, statistical analysis, machine learning model development, and creating data visualizations. Service members or civilian personnel in these roles typically work flexible hours or on specific projects rather than full-time, supporting military operations with actionable insights derived from data. These roles are crucial for improving logistics, intelligence, and overall mission success while allowing for a work-life balance.

What is the difference between Part Time Data Science Military vs Part Time Data Analysis Military?

AspectPart Time Data Science MilitaryPart Time Data Analysis Military
Required CredentialsDegree in Data Science, Statistics, or related field; certifications like CAP or Microsoft Data AnalystDegree in Data Analysis, Statistics, or related field; certifications like Microsoft Data Analyst or Tableau
Work EnvironmentMilitary bases, research facilities, or remote; focus on complex data modelingMilitary operations, field sites, or remote; focus on data interpretation and reporting
Employer & Industry UsageMilitary research units, defense contractors, government agenciesMilitary logistics, intelligence units, defense agencies

Part Time Data Science Military involves advanced data modeling and machine learning, while Part Time Data Analysis Military focuses on interpreting data and generating reports. Both roles support military operations but differ in technical complexity and daily tasks.

What are some common challenges faced by part-time data scientists working in military settings?

Part-time data scientists in military environments often encounter unique challenges, such as adapting to classified data restrictions and balancing multiple projects with limited hours. Communication with full-time team members and stakeholders can also be more complex, especially when coordinating across different time zones or security clearance levels. Additionally, staying updated on military-specific protocols and technologies requires ongoing learning and adaptability. Despite these challenges, many find the work highly rewarding due to the impact and mission-driven focus.

What are the key skills and qualifications needed to thrive as a Part Time Data Scientist in a military setting, and why are they important?

To excel as a Part Time Data Scientist in the military, you need strong analytical skills, a background in statistics or computer science, and familiarity with military protocols, usually supported by a relevant degree or military training. Proficiency in programming languages such as Python or R, experience with data analysis tools like SQL, and knowledge of secure data systems are typically required. Strong problem-solving abilities, attention to detail, and effective communication are essential soft skills for interpreting complex data and collaborating with multidisciplinary teams. These competencies ensure accurate data-driven decision-making and support mission-critical operations in a secure and dynamic environment.
What cities are hiring for Part Time Data Science Military jobs? Cities with the most Part Time Data Science Military job openings:
What are the most commonly searched types of Data Science Military jobs? The most popular types of Data Science Military jobs are:
Lecturer, Data Science (Temporary Employee Pool)

Lecturer, Data Science (Temporary Employee Pool)

University of the Pacific

Stockton, CA โ€ข On-site

$5.0K/day

Part-time

Posted 20 days ago


Job description

Posting Details
Position Information
Title
Lecturer, Data Science (Temporary Employee Pool)
Campus
Stockton
Department
Data Science
Posting Number
F01077
Full or Part Time
Part Time
Open Date
05/22/2026
Close Date
12/14/2026
Open Until Filled
Yes
Days Per Week
3
Weeks Per Year
15
Position Description
Primary Purpose and Essential Functions
The University of the Pacific is seeking a dynamic and data-driven Adjunct Faculty member to lead a specialized, one-unit experiential learning course in Customer Analytics for the Fall 2026 semester.
The School of Engineering and Computer Science at the University of Pacific invites applications for a part-time, non-tenure track Lecturer position in the Data Science Department. We are seeking a lecturer to teach a 1-unit, 15-week asynchronous online course for the Master of Science in Data Science program. The lecturer will be responsible for organizing course content and materials, producing weekly video lectures aligned with the course's learning outcomes, designing and grading weekly assignments, and providing online (office hour) support to students. In addition, the instructor will also create and coordinate project work for the weekly, in-person, 3-hour Data Science Socratic Lab, which provides an interactive support component for students enrolled in asynchronous courses.
We are looking for someone with expertise to teach the following courses:
  • Customer Analytics (fall semester)

University of the Pacific recognizes that diversity, equity, and inclusion is foundational to the success of our valued students and employees. We prioritize policy and decision-making that demonstrates awareness of, and responsiveness to, the ways socio-cultural forces related to race, gender, ability, sexuality, socio-economic status, etc. impede or propel students, faculty, and staff.
Minimum Qualifications
  • Master's or Ph.D. in Data Science, Computer Science, Business Analytics, or a related field
  • Demonstrated experience in retail analytics, e-commerce, or consumer data modeling.
  • A commitment to experiential learning and the ability to translate technical concepts into business value.

Preferred Qualifications
  • Knowledge and experience in data science, specifically customer analytics.
  • Experience and sensitivity in working with people of diverse backgrounds and cultures.
  • Demonstrated experience in advancing social justice, equity, and inclusion in a university setting.
  • Ability to engage and integrate culturally responsive practices and knowledge in their work.

Physical Requirements
Physical Requirements:
The physical demands described here are representative but not definitive of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Requires extended periods of sitting and repetitive hand/wrist motion while using a computer keyboard and phone. Occasional standing, walking, climbing stairs, bending, stooping, and reaching. Occasional lifting of up to 25 pounds.
No Visa Sponsorship:
This position is not eligible for visa sponsorship now or in the future.
Hiring Range
$5000.00 per unit (We consider factors such as, but not limited to, scope and responsibilities of the position, candidate's qualifications, internal equity, as well as market and organizational considerations when extending an offer.)
Special Instructions
To apply, please submit the following:
  • Curriculum vitae
  • Contact information for three references

Contact Information
Dr. James Hetrick
Professor/Director of Data Science.
email: jhetrick@PACIFIC.EDU
Contact Email
jhetrick@pacific.edu
Reference Letter Information
Are Applicants Required to Submit References for This Posting?
Yes
Minimum Number of References
3
Maximum Number of References
3
Background Check Statement
All applicants who receive a conditional offer of employment are required to execute a release and authorization for a background screening.
AB 810 Misconduct Disclosure Requirement: University of the Pacific complies with California Assembly Bill 810, requiring candidates accepting conditional job offers to disclose any final administrative or judicial findings, ongoing proceedings, allegations, resignations under investigation, or appeals related to sexual harassment or misconduct within the past seven years.
Anti-Discrimination/EEO Policy Statement
University of the Pacific is an equal opportunity employer dedicated to workforce diversity across backgrounds, experiences, and viewpoints. Pacific does not unlawfully discriminate in its hiring of faculty and staff, or in the provision of its employment benefits to its faculty and staff on the basis of race, color, religion, national origin, ancestry, age, genetic information, sex/gender, marital status, military and veteran status, sexual orientation, medical condition, pregnancy, gender identity, gender expression, or mental or physical disability, or other legally protected characteristics or combination of such characteristics. While we strive to attract a broad and representative pool of candidates, all hiring decisions are made based on merit, selecting the most qualified individual for each position.