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$52.5K

$119.2K

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How much do remote entry level quantitative researcher jobs pay per year?

As of May 30, 2026, the average yearly pay for remote entry level quantitative researcher in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Entry Level Quantitative Researcher, you need strong analytical skills, a solid foundation in statistics or mathematics, and at least a bachelor's degree in a quantitative field such as mathematics, statistics, computer science, or economics. Familiarity with programming languages like Python or R, data analysis tools, and statistical software (e.g., MATLAB, SAS, or Stata) is typically required. Critical thinking, attention to detail, and effective remote communication are important soft skills for collaborating with teams and presenting research findings. These skills ensure accurate data analysis and effective problem-solving, which are vital for generating actionable insights in a remote research environment.

What are some common challenges faced by remote entry level quantitative researchers, and how can they be overcome?

Remote entry level quantitative researchers often encounter challenges such as limited access to immediate mentorship, difficulties in collaborating on complex data-driven tasks, and the need for effective self-management. To overcome these, it's helpful to proactively schedule regular check-ins with more experienced team members, utilize collaborative tools for data analysis, and maintain clear documentation of your work. Embracing open communication and seeking feedback can also help bridge the gap created by physical distance, ensuring both professional growth and successful project outcomes.

What is a Remote Entry Level Quantitative Researcher?

A Remote Entry Level Quantitative Researcher is a professional who analyzes numerical data, develops statistical models, and helps solve complex problems for a company or organization while working from a remote location. This role typically involves tasks such as data collection, statistical analysis, and supporting research projects under the supervision of senior researchers. Entry level positions are designed for recent graduates or those new to the field, providing training and mentorship to build foundational quantitative skills. Working remotely allows for flexible location and often involves collaborating with teams through digital communication tools.

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

AspectRemote Entry Level Quantitative ResearcherRemote Data Analyst
Required CredentialsBachelor's in Math, Statistics, or related field; some roles may prefer internshipsBachelor's in Data Science, Statistics, or related field; certifications like SQL or Excel often preferred
Work EnvironmentResearch-focused, often in finance, tech, or consulting firms; collaborative teamsData-focused, in various industries including finance, healthcare, and marketing; often cross-functional teams
Employer & Industry UsageCommon in finance, tech, and consulting sectors; entry-level roles for research projectsWidespread across industries; entry-level roles for data analysis and reporting

Remote Entry Level Quantitative Researchers focus on developing models and analyzing data for research purposes, often in finance or tech. Remote Data Analysts interpret data sets to inform business decisions. While both roles require similar educational backgrounds, the researcher emphasizes modeling and theoretical analysis, whereas the analyst concentrates on data interpretation and reporting.

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Remote Entry Level Quantitative Researcher jobs near you
Remote Quantitative AI Researcher & Evaluator

Remote Quantitative AI Researcher & Evaluator

DataAnnotation

Springfield, IL • Remote

$40/hr

Full-time

Posted 17 days ago

Job description

A data science company is seeking experienced quantitative professionals for a remote position evaluating AI-generated quantitative analysis and providing feedback on AI models. Candidates should have a background in data science or any quantitative field, coupled with coding experience. The role entails designing quantitative problems, writing analytical code, and ensuring the real-world validity of AI outputs.

A bachelor's degree in a quantitative field is preferred. Competitive pay starts at $40+ per hour, with flexible project scheduling. #J-18808-Ljbffr

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