AI Summary / Key Details

  • Role: Remote Quantitative Researcher for United States Residents – Turn Data into Business Impact
  • Compensation: $25 - $45 / hr
  • Location: Remote
  • How to apply: Click the Apply Now button on this page to submit your resume.
Recent Activity
Someone from Miami applied this job 2 hours ago
Someone from Brooklyn applied this job 14 mins ago

Join a cutting‑edge analytics team where your expertise in statistical modeling and data mining will directly influence strategic decisions. This fully remote position offers the flexibility to work from anywhere in the United States while collaborating with top talent to solve complex business challenges. Competitive compensation, state‑of‑the‑art tools, and a culture that values innovation await you.

About the Role

We are seeking a Quantitative Researcher to design, implement, and validate sophisticated statistical models that drive product development, pricing strategies, and customer insights. You will partner with product managers, engineers, and data scientists to translate raw data into actionable intelligence, leveraging advanced techniques such as regression analysis, time‑series forecasting, and machine learning. The role is 100 % remote, allowing you to focus on high‑impact research without the distractions of a traditional office environment.

Key Responsibilities

  • Develop and maintain predictive models using Python, R, or SAS to forecast market trends and customer behavior.
  • Conduct A/B testing, experiment design, and causal inference to evaluate product changes.
  • Perform data cleaning, feature engineering, and exploratory data analysis on large, heterogeneous datasets.
  • Communicate findings through clear visualizations and concise reports for non‑technical stakeholders.
  • Stay current with emerging quantitative methods and integrate best practices into the research workflow.

Requirements

Candidates should hold a Master’s or Ph.D. in Statistics, Applied Mathematics, Econometrics, Computer Science, or a related quantitative field, with at least three years of professional experience in statistical research or data analytics. Proven proficiency in statistical programming languages (Python, R, SAS, or MATLAB) and familiarity with machine learning libraries (scikit‑learn, TensorFlow, caret) are essential. Strong problem‑solving abilities, excellent written and verbal communication skills, and the capacity to work autonomously in a remote setting are required.

Core Skills & Experience

  • Advanced knowledge of statistical modeling, hypothesis testing, and experimental design.
  • Experience with big data technologies (SQL, NoSQL, Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).
  • Ability to translate complex quantitative results into strategic business recommendations.
  • Track record of publishing research findings or delivering measurable business outcomes.
  • Self‑discipline and strong time‑management skills for remote collaboration.

Benefits

Working as a Remote Quantitative Researcher offers a comprehensive benefits package designed to support your professional growth and personal well‑being:

  • Competitive salary ranging from $55,000 to $85,000 USD per year, commensurate with experience.
  • Fully remote work environment with flexible hours and the ability to set your own schedule.
  • Generous health, dental, and vision insurance plans covering you and your dependents.
  • 401(k) matching contributions and a robust retirement planning program.
  • Annual professional development stipend for conferences, certifications, and online courses.
  • Monthly team‑building retreats (virtual or in‑person) and access to a collaborative Slack community.

Why Join Us?

Our organization is dedicated to leveraging data as a strategic asset, and we empower our researchers with the tools, autonomy, and support needed to innovate. You will work alongside a multidisciplinary team that values curiosity, ethical data use, and impact‑driven results. This remote role provides a unique opportunity to shape the future of our products while enjoying the work‑life balance that only a fully remote position can offer.