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Remote Associates Degree Social Science Jobs (NOW HIRING)

Team members who choose virtual / remote work should have an adequate space to serve as their home ... Doctorate Degree in a Statistical or Mathematical field (e.g. Engineering, Social Science, or ...

Team members who choose virtual / remote work should have an adequate space to serve as their home ... Doctorate Degree in a Statistical or Mathematical field (e.g. Engineering, Social Science, or ...

... or Related Social Science Curriculum vitae should reflect evidence of qualitative and/or ... Required License or Certification Is this position eligible for a remote or hybrid work arrangement ...

Acts as a talent steward for associates, including identifying and developing leaders for ... Bachelors degree in a finance related discipline (Accounting, Finance) Experience: * 5+ years of ...

The position is eligible for 2 days per week remote work. About TLC: The New York City Taxi and ... social science and one year of full-time experience in a responsible supervisory, administrative or ...

The position is eligible for 2 days per week remote work. About TLC: The New York City Taxi and ... social science and one year of full-time experience in a responsible supervisory, administrative or ...

The position is eligible for 2 days per week remote work. About TLC: The New York City Taxi and ... social science and one year of full-time experience in a responsible supervisory, administrative or ...

General information Job Posting Title Data Scientist II (Remote) Date Tuesday, August 4, 2026 City ... Minimum Requirements: -Master's degree in quantitative science, social science, or a related ...

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Remote Associates Degree Social Science information

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$47.5K

$74.9K

$139K

How much do remote associates degree social science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote associates degree social science in the United States is $74,903.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $94,000.00 per year, depending on experience, location, and employer.

What is a remote associates degree in social science?

A Remote Associates Degree in Social Science is a two-year undergraduate program that can be completed entirely online. It covers foundational topics such as psychology, sociology, anthropology, and political science. This format allows students to study from anywhere while balancing other commitments like work or family. Graduates can use the degree to pursue entry-level roles in social services, education, or continue on to a bachelor's program.

What are the key skills and qualifications needed to thrive as a remote social science associate degree holder?

To succeed in a remote social science role with an associate degree, you need a solid understanding of social science concepts, research methods, and analytical skills, typically gained through relevant coursework. Familiarity with data analysis tools, survey platforms, and collaboration software such as Microsoft Office or Google Workspace is often required. Strong written communication, critical thinking, and self-motivation are essential soft skills for remote collaboration and independent work. These skills ensure you can effectively contribute to research projects, communicate findings, and maintain productivity in a virtual environment.

What are some common challenges faced by remote social science professionals with an associate degree, and how can they be addressed?

Remote social science professionals with an associate degree often encounter challenges such as maintaining effective communication with team members, managing their own schedules, and accessing continued professional development. To address these, it is helpful to leverage collaboration tools, set structured daily routines, and proactively seek out online training opportunities. Additionally, participating in virtual team meetings and professional networks can help build connections and foster a sense of community within the remote work environment.

What can I do with a remote associates degree in social science?

A remote associate's degree in social science prepares individuals for entry-level roles in fields such as social services, community outreach, research assistance, and administrative support. It provides foundational knowledge of human behavior, research methods, and communication skills, which are valuable in various organizations and remote work environments.
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Infographic showing various Remote Associates Degree Social Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $74,903 per year, or $36 per hour.

Data Scientist

Saint Louis, MO • On-site, Remote

Enterprise Holdings
Travel Arrangement Services • 10K+ employees

Full-time

Re-posted yesterday


Enterprise Holdings rating

7.1

Company rating: 7.1 out of 10

Based on 268 frontline employees who took The Breakroom Quiz

118th of 178 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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