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Virtual Remote Political Science Jobs (NOW HIRING)

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

Team members who choose virtual / remote work should have an adequate space to serve as their home ... Engineering, Social Science, or Statistics) * Must have two (2+) years of experience with ...

10a Labs

Research Fellow

Washington, DC · On-site +1

$32.50/hr

Requirements: * Bachelor's degree in international relations, political science, economics ... Comfort working independently and collaboratively in a remote setting. * Basic scripting skills (e ...

10a Labs

Red Teaming Fellowship

Washington, DC · On-site +1

$32.50/hr

... Political Science, International Relations, or a related field * Strong interest in AI safety ... Remote work (based in the continental U.S.) * Flexible schedule, up to 20 hours per week ...

RTI International

RN Social Science Researcher

Coordinate and conduct virtual and in-person training sessions and field observations. * Track data ... political science, or a related field with at least 3 years of relevant experience or equivalent.

William and Mary

Adjunct Professor of Government

A Master's degree in political science or a closely related field, or equivalent experience and ... Remote teaching opportunities are rare and subject to approval. Applicants must apply online at All ...

Kentech Consulting Inc

LEAD INVESTIGATOR: W2

Miami, FL · Remote

$45K/yr

As a remote investigator, you will analyze applications, conduct interviews, research public ... Bachelor's degree in Journalism, Criminal Justice, Political Science, Pre-Law, Paralegal Studies ...

Meta

Product Policy Manager, GenAI

New York, NY · On-site

$153K/yr

Master's degree or PhD in political science, policy, law, computer science or related field ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Meta

Product Policy Manager, GenAI

Menlo Park, CA · On-site +1

$153K/yr

Bachelor's degree in political science, policy, law, comms, computer science or related field * 8+ ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Meta

Product Policy Manager, GenAI

Washington, DC · On-site +1

$153K/yr

Bachelor's degree in political science, policy, law, comms, computer science or related field * 8+ ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Meta

Product Policy Manager, GenAI

Austin, TX · On-site +1

$153K/yr

Bachelor's degree in political science, policy, law, comms, computer science or related field * 8+ ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

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Virtual Remote Political Science information

What is a virtual remote political science job?

A Virtual Remote Political Science job involves working in the field of political science from a remote location, typically using digital communication tools. These roles can include research, analysis, writing, teaching, or consulting on political systems, public policy, or international relations. Professionals in this field may work for universities, think tanks, government agencies, or private organizations. Remote political science jobs offer flexibility and the opportunity to collaborate with colleagues and clients worldwide. Key skills include strong research abilities, analytical thinking, and excellent communication.

What are the key skills and qualifications needed to thrive as a virtual remote political scientist?

To thrive as a Virtual Remote Political Scientist, you need a solid background in political science, research methodology, and data analysis, typically supported by an advanced degree in political science or a related field. Familiarity with statistical software (such as SPSS or R), virtual collaboration tools, and academic databases is essential. Strong written communication, critical thinking, and self-motivation are key soft skills for excelling in a remote environment. These skills and qualities are important for producing rigorous research, effectively collaborating online, and contributing valuable insights to the field.

What are some common challenges faced by virtual remote political science professionals, and how can they be addressed?

Virtual remote political science professionals often encounter challenges such as limited face-to-face collaboration, navigating different time zones, and ensuring access to reliable research resources. To address these, it is helpful to establish regular virtual meetings, use collaborative online platforms, and maintain clear communication with team members. Additionally, leveraging digital libraries and academic networks can help ensure access to up-to-date research materials and foster a sense of community, even when working remotely.

What is the difference between Virtual Remote Political Science vs Virtual Remote Political Analyst?

AspectVirtual Remote Political ScienceVirtual Remote Political Analyst
Required CredentialsBachelor's or higher in Political Science or related fieldBachelor's or higher in Political Science, Public Policy, or related field
Work EnvironmentRemote, often academic or research-focusedRemote, often consulting or policy analysis
Employer & Industry UsageUniversities, research institutes, NGOsThink tanks, government agencies, consulting firms
Common Search & ComparisonYesYes

Virtual Remote Political Science involves academic research, teaching, or policy development, while Virtual Remote Political Analyst focuses on analyzing political data, providing insights, and advising clients or organizations. Both roles require a background in political science but differ in their application and industry focus.

What can I do with a virtual remote political science degree?

A virtual remote political science degree prepares individuals for careers in policy analysis, government, non-profit organizations, research, and advocacy. It often involves skills in research, critical thinking, and communication, and can lead to roles such as policy analyst, legislative assistant, or public affairs specialist, typically requiring proficiency with digital communication tools and remote work environments.
More about Virtual Remote Political Science jobs

What cities are hiring for Virtual Remote Political Science jobs?

Cities with the most Virtual Remote Political Science job openings:

What are the most commonly searched types of Virtual Political Science jobs?

The most popular types of Virtual Political Science jobs are:

What states have the most Virtual Remote Political Science jobs?

States with the most job openings for Virtual Remote Political Science jobs include:

What job categories do people searching Virtual Remote Political Science jobs look for?

The top searched job categories for Virtual Remote Political Science jobs are:

Virtual Remote Political Science jobs near you
Infographic showing various Virtual Remote Political Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution.

Data Scientist

Enterprise Holdings

Saint Louis, MO • On-site, Remote

Full-time

Re-posted 12 days ago

Enterprise Holdings rating

7.2

Company rating: 7.2 out of 10

Based on 267 frontline employees who took The Breakroom Quiz

113th of 175 rated vehicle equipment hire

Job description

Overview
ABOUT THE COMPANY
Enterprise Mobility is a leading provider of mobility solutions, owning and operating the Enterprise Rent-A-Car, National Car Rental and Alamo Rent A Car brands through its integrated global network of independent regional subsidiaries. Enterprise Mobility and its affiliates offer extensive car rental, carsharing, truck rental, fleet management, retail car sales, as well as travel management and other transportation services, to make travel easier and more convenient for customers.
Privately held by the Taylor family of St. Louis, Enterprise Mobility together with its affiliate Enterprise Fleet Management manages a diverse fleet of 2.4 million vehicles and accounted for nearly $39 billion in revenue through a network of more than 9,500 fully-staffed neighborhood and airport rental locations in more than 90 countries and territories.
As we continue to build a team that drives us forward, we are excited to announce the opening for a Data Scientist.
ABOUT THE ROLE
The Data Scientist is a key driver of innovation, transforming data into actionable insights that improve business processes. In this role, you'll develop cutting-edge analytical products-creating algorithms for automation, building predictive models, designing experiments, and applying causal inference techniques to observational data. You'll also harness mathematical optimization to identify the most profitable business strategies. Success in this position requires strong collaboration with both technical and non-technical teams to ensure the creation, delivery, and adoption of impactful analytical solutions
This position offers the opportunity to work fully remote within the United States (except for Alaska and/or Hawaii). Team members who choose virtual / remote work should have an adequate space to serve as their home office, and must be able to work a schedule within U.S. Central Standard Time core business hours This position will require employees to come on site to one of our St. Louis campus locations a few times per year for meetings/events or as needed. #LI-REMOTE
We are committed to a fair and transparent hiring process. Candidates should expect identity verification, video interviews, technical validation of skills, and verification of employment, education, and work authorization. Falsification of information, proxy interviewing, or misrepresentation of experience or location will result in disqualification.
Responsibilities
As a Data Scientist focused on revenue management, you will design and deploy advanced deep learning models to forecast demand. These models will enable branch-level decision-making, helping maximize revenue by leveraging historical trends and predictive analytics. In this role, you will collaborate closely with cross-functional teams to develop and implement analytical solutions that drive measurable business impact.
  • Collaborate with the team to design and deliver analytical solutions that drive business impact
  • Extract, clean, and manipulate structured and unstructured data from multiple sources
  • Perform exploratory data analysis to identify patterns, trends, and insights
  • Develop predictive models to support data-driven decision-making
  • Design and oversee experiments, ensuring accurate execution and interpretation of results
  • Apply causal inference techniques using observational data to uncover relationships
  • Prepare and deliver clear documentation of methodologies, findings, and recommendations
  • Create and present insightful reports and presentations for technical and non-technical audiences
  • Partner with cross-functional teams to implement and operationalize analytical solutions

Equal Opportunity Employer/Disability/Veterans
Qualifications
Required:
  • Must be presently authorized to work in the U.S. without a requirement for work authorization sponsorship by our company for this position now or in the future
  • Must reside in the United States (does not include Alaska or Hawaii)
  • Must be able to work a schedule within U.S. Central Standard Time core business hours.
  • Must have a Master's Degree in a Statistical or Mathematical field (e.g. Engineering, Social Science, or Statistics)
  • Must have two (2+) years of experience with predictive models, statistical inference and deep learning
  • Must have experience using libraries like tensorflow or pytorch
  • Must have experience preparing and giving presentations to technical and non-technical audiences
  • Must have proficiency in R or Python
  • Must be committed to incorporating security into all decisions and daily job responsibilities

Preferred:
  • Doctorate Degree in a Statistical or Mathematical field (e.g. Engineering, Social Science, or Statistics)
  • Experience designing experiments
  • Experience exploring and visualizing data
  • Experience using Linux/Unix
  • Experience using SQL
  • Experience working with data (merging, recording, etc.) from a variety of sources/formats
  • Experience working with observational data to attempt causal inference (e.g. matching, weighting, etc.)

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