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Part Time Data Science Military Jobs (NOW HIRING)

HII's Mission Technologies division

$90/hr

Requisition Number: 29524 Required Travel: 51 - 75% Employment Type: Part Time/Hourly/Non-Exempt ... Certifications in data science, machine learning, or related fields * Prior military or ...

Walmart

Distinguished, Data Scientist

Bellevue, WA · On-site

Work closely with Directors, Sr. Managers of Data Science, and leaders ofArchitecture,Engineering ... Other benefits include short-term and long-term disability, company discounts, Military Leave Pay ...

Walmart

Distinguished, Data Scientist

Bellevue, WA · On-site

Work closely with Directors, Sr. Managers of Data Science, and leaders ofArchitecture,Engineering ... Other benefits include short-term and long-term disability, company discounts, Military Leave Pay ...

US Department of the Air Force

$49K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work.

US Department of the Air Force

$49K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work.

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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 are the key skills and qualifications needed to thrive as a part time data scientist in a military setting?

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 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 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 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:

Part Time Data Science Military jobs near you

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

Trinity

Olmos Park, TX • On-site

Part-time

Posted 20 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

176th of 204 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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