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Remote Quantitative Researcher Jobs in Silver Spring, MD

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

... 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 ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

... 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 ...

DCG

Social Scientist

Washington, DC · Remote

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 ...

DCG

Social Scientist

Baltimore, MD · Remote

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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All JobsRemote Quantitative Researcher JobsRemote Quantitative Researcher Jobs in Silver Spring, MD

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 Jun 11, 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:
Remote Quantitative Researcher jobs near you
Head of Quantitative Research Senior Data Architect

Head of Quantitative Research Senior Data Architect

Addison Group

Lanham, MD • Remote

$170K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Title: Head of Quantitative Research / Senior Data Architect (Confidential – Manufacturing & AI Transformation)

Location: REMOTE EST or Mid-Atlantic Region

Salary Range: $170,000 – $250,000 Base Salary + Profit Sharing

Benefits: Health, Dental, Vision, 401K, PTO, Profit Sharing and additional benefits

Sponsorship: Position is not eligible for sponsorship


About the Opportunity

A highly successful, third-generation manufacturing organization in the Mid-Atlantic region is seeking a Head of Quantitative Research / Senior Data Architect to help drive the next phase of enterprise growth and AI-enabled business transformation.

This organization manufactures and distributes products directly to both B2B and B2C markets and is aggressively investing in data, forecasting, AI, and operational intelligence to scale the business significantly over the next several years.


This role will work directly with ownership, finance leadership, and the Chief AI Architect to develop advanced forecasting models, pricing strategies, operational analytics, customer acquisition models, and AI-driven business insights that influence enterprise-wide strategy.


This is not a dashboard/reporting role. The organization is seeking a highly analytical business-minded quantitative leader capable of translating complex data into actionable executive decisions.

What You’ll Be Doing

• Build forecasting and financial modeling frameworks to support aggressive company growth initiatives

• Develop pricing, elasticity, and profitability models across multiple business lines

• Partner with executive leadership on strategic planning and operational optimization

• Create scalable data and analytics frameworks leveraging modern AI tooling

• Drive experimentation, causal inference, and advanced analytics initiatives

• Collaborate cross-functionally with finance, operations, engineering, and leadership teams

• Help establish the long-term analytical and AI-enabled decision-making infrastructure of the organization

What We’re Looking For

• 8+ years of experience in quantitative research, data science, advanced analytics, or quantitative finance

• Expertise in Python, SQL, forecasting, experimentation, and statistical modeling

• Strong understanding of business strategy, financial modeling, and operational analytics

• Excellent communication skills with the ability to work directly with executives and ownership teams

• Experience in manufacturing, marketplaces, fintech, consumer technology, or high-growth operational environments is highly desirable

• AI-first mindset with exposure to modern AI-assisted analytics workflows preferred

This is a rare opportunity to step into a highly visible strategic role where analytics directly influence enterprise growth, operational strategy, and AI transformation initiatives.


Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.

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