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Remote Quantitative Social Science Jobs in Washington

... applying quantitative research in optimizing human decisions using technologies like machine ... Job Specific Requirements: -Bachelor's degree in data science, statistics, mathematics, computer ...

Senior I/O Psychologist

Washington, DC · On-site +1

$100K - $200K/yr

Washington, DC Remote Status: Onsite Summary C² Technologies seeks a Senior I/O Psychologist to ... Collect and analyze qualitative and quantitative data to draw practical conclusions and answer ...

Bachelor's degree in Mathematics, Statistics, Business, Law, Engineering, Social Sciences, Physical ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

... expertise and quantitative analysis to make recommendations that improve data curation and ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

... for remote work to be determined by the program manager and customer. Essential Functions ... Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning, Operational ...

Showing results 41-60

Remote Quantitative Social Science information

What is a remote quantitative social science?

A remote quantitative social science job involves conducting research and analysis in fields like sociology, psychology, economics, or political science using statistical and mathematical methods, all while working from a remote location. Professionals in these roles collect and analyze numerical data to understand social phenomena, trends, and behaviors. They often use software tools for data analysis and collaborate with teams virtually. These positions are ideal for those with strong analytical skills and a background in social sciences and statistics.

What are the key skills and qualifications needed to thrive as a remote quantitative social science professional?

To thrive as a Remote Quantitative Social Science professional, you need a strong background in statistics, data analysis, research methods, and typically an advanced degree in a social science discipline. Proficiency with statistical software such as R, Stata, or SPSS, and experience with survey platforms and data visualization tools, are highly valued. Excellent written communication, critical thinking, and self-motivation are crucial soft skills for collaborating remotely and translating data insights effectively. These skills ensure rigorous research, accurate data-driven conclusions, and effective collaboration in a distributed work environment.

How do remote quantitative social scientists typically collaborate with team members across different locations?

Remote quantitative social scientists often work closely with interdisciplinary teams, including data analysts, subject matter experts, and project managers, using digital collaboration tools like Slack, Zoom, and cloud-based platforms. Effective communication is crucial, as much of the work involves sharing data insights, co-authoring research papers, and coordinating on statistical analyses. Regular virtual meetings, clear documentation, and shared repositories help ensure alignment and smooth project progress, despite geographic dispersion. Building strong working relationships remotely can be challenging at first, but consistent communication and proactive engagement usually lead to successful team outcomes.

What is the difference between Remote Quantitative Social Science vs Remote Data Analyst?

AspectRemote Quantitative Social ScienceRemote Data Analyst
Required CredentialsAdvanced degrees in social sciences, statistics, or related fieldsBachelor's or master's in data analysis, statistics, or related fields
Work EnvironmentResearch-focused, often in academia, think tanks, or social research firmsBusiness, marketing, or tech companies analyzing data for decision-making
Industry UsageSocial sciences, policy research, academiaBusiness, finance, healthcare, marketing

Remote Quantitative Social Science involves analyzing social data to understand societal trends, often requiring advanced degrees and research expertise. Remote Data Analysts focus on interpreting data to support business decisions, typically with a bachelor's or master's degree. While both roles involve data analysis, the social science role emphasizes societal insights, whereas data analysts serve business needs.

What job categories do people searching Remote Quantitative Social Science jobs in Washington look for?

The top searched job categories for Remote Quantitative Social Science jobs in Washington are:

Business Intelligence and Data Analyst II

AAAS

Washington, DC • On-site, Remote

$40/hr

Part-time

Posted 29 days ago


Job description

AAAS has an exciting opportunity for a Part-time BI & Data Analyst II to join our Research & Data Analytics (RDA) team!

The Part-time BI & Data Analyst-II (BIDA-II) works cooperatively with other RDA team members, IT, and business unit stakeholders to manage, analyze, interpret, and report on data to contribute to AAAS’s strategic planning, business goals and overall mission.  In a team setting, the BIDA-II will implement data and analytics projects. This will include:

  • Building data pipelines in AWS that support Power BI datasets and reports 
  • Curating datasets and reports in Power BI (PBI). 
  • Supporting business analysts in the development of PBI reports and dashboards. 
  • Documenting data pipelines. 
  • Participating in efforts to identify and pilot test tools and technology that will advance our data infrastructure and data governance. 
  • Participate in rotating QC and data pipeline breakage duties. 

The BIDA-II may also be tasked with conducting Internet searches to identify best practices or common policies related to Business Intelligence (BI), data governance, AWS data pipelines, and mentoring analysts in other departments in how to build and modify Power BI datasets and reports. 

Help us ignite the next era of science.

What You'll Do  

Contribute to Data and Analytics Infrastructure  

  • Add data from various sources to the AWS ETL Platform, named the Reporting & Analytics Platform (RAP)  
  • Write fast and performant database queries using a flavor of SQL Server to pull data into PBI. 
  • Develop fast and efficient .pbix files that produce accurate and reliable data 
  • Curate PBI datasets, reports, and dashboards 
  • Continuously monitor data quality and develop processes to improve accuracy and completeness. 
  • Support business analysts in the development of PBI reports and dashboards. 
  • Maintain documentation of data pipelines, datasets and reports 
  • Participate in efforts to identify and pilot test tools and technology that will advance our data infrastructure and data governance. 

Project Implementation 

  • Plan and implement projects across the lifecycle (conception/initiation, planning, execution, and closeout). 
  • Create and maintain project plans to ensure timely delivery to internal customers. 
  • Manage resources to ensure projects are completed on time and in budget. 

Minimum Qualifications  

  • BA/BS with at least two years of experience working with large, complex datasets using SQL and R, or MS degree from an accredited college or university in data science, statistics, social science, business administration, or a mathematical discipline.  
  • Proficient with Excel and slide deck software (e.g., Power Point, Canva, Google Slideshow Maker). 
  • Proficient with AWS ETL tools (including but not limited to Glue, Lambda, Iceberg, and Athena) 
  • Proficient with: R, Python, SQL, Pyspark. 
  • Proficient with data visualization software (e.g., Power BI, Tableau, Google Data Studio). 
  • Familiar with methods for addressing missing data and other data quality concerns. 
  • Familiar with ETL best practices. 
  • Experience with data management, analysis, interpretation; and report writing. 
  • Experience summarizing research methodologies and results of analyses. 
  • Experience developing visually compelling reports and dashboards that reveal key trends in the data. 
  • Knowledge of research design, qualitative, and quantitative research methods. 

Location

We have offices in Washington, DC and Cambridge, UK. Remote work is possible.  If you are not located in or able to work from a location where AAAS has a business presence, you may not be eligible for this position. Please contact our Talent Team at jobs@aaas.org with any questions regarding your eligibility.

Application Process  

Submit a resume and cover letter outlining qualifications and interest in the position by September 4, 2026. Applications are reviewed on a rolling basis. A Recruiter will contact you with next steps if you are selected for an interview.

The anticipated initial rate of compensation for this positions is $40 per hour with a term length of six months.

AAAS is aware of fraudulent messages from individuals and entities falsely claiming to represent our organization. Please note that all official recruitment communications will come from an @aaas.org email address, and all open positions are posted on our Careers page (aaas.org/careers). AAAS will never ask applicants to provide payment, financial information including credit card numbers, or Social Security numbers during the hiring process via an email. If you receive an email claiming to be from AAAS that looks suspicious, do not click on any links or open any attachments. Instead, please contact us at jobs@aaas.org before responding or sharing any personal information.

Any actual offer of employment, reflecting the total compensation package and benefits, will be made in the sole discretion of AAAS and will be based on a variety of factors, including years of experience, depth of experience, and other relevant factors. AAAS reserves the right to amend or modify its employment benefits and compensation structure at any time.

AAAS is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender, gender identity, national origin, age, disability, veteran status, or other protected category. AAAS uses E-Verify to confirm the employment eligibility of all newly hired employees. No visa sponsorship is available for this position.

Search Firm and Employment Agency Disclaimer
The American Association for the Advancement of Science (AAAS) does not accept unsolicited agency resumes. Any unsolicited resumes sent to AAAS from a third party, such as an agency, including unsolicited resumes sent to an AAAS mailing address, fax machine or email address, directly to AAAS employees, or to the AAAS resume database will be considered AAAS property. Verbal or written communications from any employee of AAAS shall not be considered binding obligations. AAAS Human Resources is the only AAAS representative authorized by AAAS enter into any employment agreements with any third party. AAAS will not pay a fee for any placement resulting from the receipt of an unsolicited resume.

#LI-DNI


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About AAAS

Sourced by ZipRecruiter

Industry

Non-profits

Company size

201 - 500 Employees

Headquarters location

Washington, DC, US

Year founded

1848