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Remote Quantitative Researcher Jobs in Silver Spring, MD

Certain roles -- such as field-based sales or other remote-by-design positions -- may have ... Commission and lead qualitative and quantitative research to deepen understanding of the ID.me ...

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

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

Location Fully Remote; the selected candidate will work during DCG's core Eastern Standard Time ... Contribute to the planning, execution, and management of qualitative and quantitative research ...

Location Fully Remote; the selected candidate will work during DCG's core Eastern Standard Time ... Contribute to the planning, execution, and management of qualitative and quantitative research ...

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Remote Quantitative Researcher information

See Silver Spring, MD salary details

$54.3K

$123.2K

$203.1K

How much do remote quantitative researcher jobs pay per year?

As of Jul 6, 2026, the average yearly pay for remote quantitative researcher in Silver Spring, MD is $123,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,200.00 and $157,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Quantitative Researcher, and why are they important?

To thrive as a Remote Quantitative Researcher, you need strong analytical skills, advanced mathematical or statistical knowledge, and typically a degree in a quantitative field such as mathematics, statistics, or economics. Expertise in programming languages like Python or R, experience with statistical modeling tools, and familiarity with data analysis platforms are commonly required. Excellent problem-solving abilities, attention to detail, and clear written communication are standout soft skills for this role. These competencies enable effective remote collaboration, high-quality research output, and the ability to draw actionable insights from complex data.

What is the difference between Remote Quantitative Researcher vs Remote Data Analyst?

AspectRemote Quantitative ResearcherRemote Data Analyst
Required CredentialsTypically requires a master's or Ph.D. in statistics, mathematics, or related fieldsOften requires a bachelor's or master's in data science, statistics, or related areas
Work EnvironmentConducts research, develops models, and analyzes large datasets for research projectsFocuses on interpreting data, creating reports, and supporting business decisions
Employer & Industry UsageUsed in academia, research institutions, and R&D departments of tech and finance firmsCommon in corporate, marketing, finance, and healthcare sectors

While both roles involve data analysis, Remote Quantitative Researchers primarily focus on developing models and conducting research, often requiring advanced degrees. Remote Data Analysts interpret data to inform business decisions, typically with a broader range of educational backgrounds. Both roles are essential in data-driven industries but serve different functions within organizations.

How does a Remote Quantitative Researcher typically collaborate with team members across different time zones?

As a Remote Quantitative Researcher, effective collaboration across time zones is essential and often facilitated through asynchronous communication tools like Slack, email, and project management platforms. Regularly scheduled virtual meetings, such as weekly stand-ups or brainstorming sessions, help maintain alignment and foster teamwork. Sharing code, data, and research findings via cloud-based repositories ensures transparency and accessibility for all team members. Flexibility in working hours and clear documentation of methodologies also play a key role in minimizing misunderstandings and keeping projects on track.

What is a Remote Quantitative Researcher?

A Remote Quantitative Researcher is a professional who analyzes and interprets numerical data to help organizations make informed decisions, typically from a remote location. They use statistical methods, mathematical models, and computer algorithms to identify patterns, test hypotheses, and generate insights. These researchers often work in fields such as finance, economics, healthcare, and social sciences. By working remotely, they leverage digital tools to collaborate with teams and access data, enabling flexibility and access to global opportunities.
What are popular job titles related to Remote Quantitative Researcher jobs in Silver Spring, MD? For Remote Quantitative Researcher jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Remote Quantitative Researcher jobs in Silver Spring, MD look for? The top searched job categories for Remote Quantitative Researcher jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Remote Quantitative Researcher jobs? Cities near Silver Spring, MD with the most Remote Quantitative Researcher job openings:
Quantitative Research Analyst, Education & Employment (Remote Eligible)

Quantitative Research Analyst, Education & Employment (Remote Eligible)

Mathematica

Washington, DC โ€ข Remote

Other

Posted 18 days ago


Job description

We are seeking a ResearchAnalyst to join our Education and Employment team. Research analysts contributeto quantitative and qualitative research and analysis that examines theeffectiveness and implementation of policies and programs. Analysts help assessthe strength of study designs, summarize existing research through literaturereviews, evidence reviews, systematic reviews, and meta-analyses, support thedesign and implementation of evaluations, and help disseminate findings throughaccessible reports, briefs, presentations, websites, and other tools.

This is a general analystposting, and analysts may support a range of project activities. We areespecially interested in candidates with strong quantitative skills who canwork with survey, administrative, or program data; support data cleaning andanalytic specification development; conduct descriptive and impact analysesusing appropriate statistical methods and communicate quantitative findingsclearly to technical and non-technical audiences.

Analysts typically work on morethan one project at a time and are matched to projects that suit theirinterests and skills and offer opportunities for professional growth. Analystswork under the guidance of researchers, statisticians, data scientists, andproject leaders while building expertise in new methods and topic areas.

Our current and recent work includes projectssuch as:

  • Helping states, school districts, workforce agencies, and other organizations build capacity to use data and strengthen supports for students, educators, job seekers, workers, and families.
  • Working collaboratively with human services, education, and workforce agencies to test implementation strategies and gather information on their success, using approaches such as rapid cycle evaluation and continuous improvement.
  • Conducting systematic reviews, evidence reviews, and meta-analyses to determine what works and assess the effectiveness of interventions, programs, policies, and practices in education, employment, training, family support, and related policy areas.
  • Supporting rigorous evaluations of programs and policies through study design, study recruitment, data collection, data quality assessment, analysis planning, and dissemination of actionable findings.
  • Developing analytic products, technical assistance resources, dashboards, reports, and briefs that help clients and partners interpret evidence and use data for program improvement and policy decisions.

Responsibilities:

Quantitative analysis and programming

  • Assist with quantitative analyses, including summarizing data quality issues, cleaning and preparing survey or administrative data, defining analysis specifications, and developing output formats.
  • Write, review, or modify code to conduct data extraction, cleaning, manipulation, descriptive analyses, table production, and data visualization.
  • Apply or support statistical and quantitative methods appropriate to the project, such as descriptive statistics, regression, weighting, power calculations, performance measurement, longitudinal analysis, or quasi-experimental methods, under the guidance of senior staff.
  • Develop specifications, user manuals, reproducible documentation, and other materials for reporting systems, dashboards, analytic tools, and programming workflows.

Research and evaluation

  • Participate in interviews, site visits, focus groups, surveys, or other data collection activities to assess implementation, outcomes, costs, and participant experiences in education, employment, and related social programs.
  • Conduct literature reviews, environmental scans, evidence reviews, and systematic reviews; apply evidence standards to assess study quality and synthesize findings.
  • Support the design and implementation of evaluations, including helping to develop evaluation plans, logic models, research questions, study protocols, instruments, and data collection procedures.
  • Provide technical assistance to grantees, state and local agencies, school districts, workforce organizations, and other partners to support evaluation, evidence building, and program improvement.

Communication and project support

  • Draft client memos, issue briefs, literature review summaries, technical appendices, chapters of analytic reports, presentations, and proposals for new projects.
  • Communicate analytic findings, data limitations, and methodological decisions to internal project teams, clients, policymakers, practitioners, and other stakeholders.
  • Assist with timeline management, cost tracking, meeting preparation, note taking, budget estimates, quality assurance reviews, and coordination across project teams.