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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 ...

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

Washington, DC · 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 ...

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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.

How much do Army data scientists make?

Army data scientists, often part of military intelligence or research units, typically earn between $70,000 and $120,000 annually, depending on experience, rank, and security clearance. They work with data analysis, machine learning, and statistical tools in a military environment, often requiring specialized training and security certifications.

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.

Does the military offer part-time jobs?

The military generally does not offer traditional part-time jobs, as service members are typically full-time personnel. However, some reserve or National Guard positions allow individuals to serve part-time while maintaining civilian employment, often involving weekend drills and training periods. These roles require specific commitments and training, and they can complement civilian careers with military experience.

Is it possible to work part-time as a data scientist?

Part-time data science roles are available in various industries, often requiring skills in programming, statistics, and data analysis tools like Python or R. These positions typically involve flexible schedules and may be suitable for professionals seeking reduced hours or supplementary income, though full-time roles are more common in larger organizations.

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.

Is 30 too late for data science?

Part Time Data Science Military roles and similar data science positions do not have strict age limits; many professionals transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, regardless of age, and demonstrating your ability to analyze data effectively.
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:
Intern - Data Science, Contract Operations

Intern - Data Science, Contract Operations

Berkshire Hathaway Energy

Adel, IA • On-site

$20 - $28/hr

Part-time

Posted 4 days ago


Berkshire Hathaway Energy rating

6.5

Company rating: 6.5 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Job Description
MidAmerican Energy Company is seeking a student pursuing a bachelor's degree or higher in data science, computer science, economics, statistics, business analytics, or related field of study, graduating later than August 2026. The position is temporary, nonexempt, and part-time/hourly.
Company and Internship Program Overview
MidAmerican Energy Company one of the largest renewable energy producers in the U.S is headquartered in Des Moines, Iowa, safely meeting the energy needs of more than 1.6 million customers in Iowa, Illinois, Nebraska, and South Dakota. A subsidiary of Berkshire Hathaway Energy, we have more than 3,400 dedicated employees serving our customers every day across our service territory.
Interns will be a part of MidAmerican's strong internship program, tour state-of-the-art facilities, network with leadership, and gain a broader understanding of MidAmerican Energy Company.
Responsibilities
Primary Job Duties and Responsibilities
  • Identify partner teams' key issues, prototype solutions, and help solve business problems using data and technology.
  • Effectively communicate and present advanced analytics model results and project outcomes.
  • Respond to and improve from feedback from internal business groups and team members. Strive for continuous improvement and personal growth.
  • Use Microsoft Teams, Microsoft Office, and Azure DevOps for team collaboration, meetings, project organization, and planning.
  • Perform any additional responsibilities as requested or assigned.

Performance Expectations
  • Perform responsibilities as directed within determined time frames and with a high degree of accuracy.
  • Establish and maintain effective work relationships within the department and the company.
  • Maintain the professional competence, knowledge and skills necessary to effectively complete responsibilities; enhance job knowledge and abilities by taking personal responsibility for professional development and training.
  • Maintain sensitive and confidential company information.
  • Attend work on a regular basis and support the company's employee policies and procedures, including workplace safety rules.
  • Ensure all compliance aspects of position are known and followed; understand and comply with all policies, codes and regulations applicable to position and company.

Qualifications
Skills for Success
  • Effective oral and written communication skills.
  • Effective analytical and problem-solving skills.
  • Effective interpersonal skills and customer relationship skills.
  • Taken coursework in data analytics, machine learning, statistics, or computational mathematics preferred.

Qualifications
  • Must be a college student, junior or higher standing, currently enrolled in a bachelor's degree or higher program in data science, computer science, economics, statistics, business analytics, or related field of study.
  • Must be available through the 2025 - 2026 academic school year.
  • Working knowledge of Microsoft Office and the Windows operating environment.

About Us
MidAmerican Energy Company, a Midwest utility, provides regulated electric and natural gas service to more than 1.6 million customers in Illinois, Iowa, Nebraska and South Dakota. The company owns and operates a portfolio of power-generating assets, approximately 61% of which is wind generation.
About the Team
MidAmerican Energy Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Employees must be able to perform the essential functions of the position, with or without an accommodation.

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