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Remote Quantitative Social Science Jobs in Washington

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

... science, computer science, operations research or other closely related other quantitative or ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Alpha Omega Integration

Scientific Data Analyst

Vienna, VA · On-site +1

$85K - $115K/yr

... remote for the foreseeable future. In this role, you will manage and analyze quantitative ... Knowledge of behavioral and social science research methods. * Experience preparing with research ...

Alpha Omega Integration

Public Health Analyst

Vienna, VA · On-site +1

$57K - $60K/yr

This is a remote role but proximity to the Atlanta area is desired. Some Key Responsibilities ... Knowledge of behavioral and social science research methods. * Experience supporting research ...

The Social App

Full Stack Engineer (Remote)

Washington, DC · Remote

$125K - $185K/yr

The Social App is a revolutionary new global telecommunications app that is looking for a software ... Bachelor Science degree in Computer Science or Computer Engineering or equivalent with some courses ...

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

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

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Remote Quantitative Social Science information

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 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 popular job titles related to Remote Quantitative Social Science jobs in Washington? For Remote Quantitative Social Science jobs in Washington, the most frequently searched job titles are:
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:
Remote Quantitative Social Science jobs near you

Data Scientist (Remote)

Elder Research

Arlington, VA • On-site, Remote

Full-time

PTO

Re-posted 7 days ago

Job description

Job Title: Data Scientist
Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV)
Clearance Required: a TS or CBP BI or DHS Suitability clearance adjudicated within the past 4 years
Position Overview:
Supports U.S. Customs and Border Protection in the Washington DC area. As a Data Scientist, with little or no supervision, apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations. Develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations. Identify trends and problems through complex big data analysis. Maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics.
Requirements:
  • MUST HAVE Six (6) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline. At least three (3) years of direct experience in machine learning.
  • Must have a Advanced Degree (Masters or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical discipline. A PhD degree may be substituted for up to three (3) years of relevant experience.
  • Demonstrates knowledge of data mining methods, databases, data visualization and machine learning.
  • Ability to communicate analysis techniques, concepts and products.
  • Ability to develop data-driven solutions, data models, and visualizations
  • Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV)

Preferred Experience and Skills:
  • Expertise using Qlik to embed visualizations into webpages
  • Familiarity with Databricks or similar cloud-based distributed database technologies
  • Familiarity with PySpark and Python
  • Comfortable developing complex SQL queries to extract, transform, and load data

About Elder Research, Inc
People Centered. Data Driven
Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.
Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.
Elder Research believes in continuous learning and community - each week the entire company attends a "Tech Talk" and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.
Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Elder Research is a Government contractor and many of our positions require US Citizenship.

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