Remote Quantitative Researcher – Join Our Data‑Driven Future

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We’re looking for a data‑savvy Quantitative Researcher to help us uncover insights that drive product innovation and market strategy. If you thrive on turning complex datasets into actionable stories, this is the role for you. Join a collaborative, fully remote team that values curiosity, rigor, and impact.

About the Role

As a Quantitative Researcher at DataPulse Analytics, you will design, implement, and interpret statistical models that inform product roadmaps, pricing strategies, and customer segmentation. Your work will directly influence high‑stakes decisions across our global client base, ranging from fintech startups to Fortune 500 enterprises.

You’ll collaborate with data engineers, product managers, and senior analysts to:

• Develop end‑to‑end analytical pipelines using Python, R, and SQL.
• Apply advanced econometric techniques, machine learning, and Bayesian inference to large, heterogeneous datasets.
• Translate statistical findings into clear, actionable recommendations for non‑technical stakeholders.
• Publish white papers and internal reports that showcase methodological rigor and business relevance.

Key Responsibilities

Data Exploration & Cleaning

Identify data quality issues, perform feature engineering, and create reproducible data workflows that can be shared across teams.

Model Development & Validation

Build predictive models, conduct hypothesis testing, and validate results using cross‑validation, bootstrapping, and out‑of‑sample checks.

Insight Generation & Storytelling

Craft compelling narratives around your analyses, using visualizations (Tableau, Power BI, or matplotlib) to communicate findings to executives and clients.

Continuous Improvement

Stay abreast of emerging statistical methods, contribute to open‑source projects, and mentor junior analysts on best practices.

Requirements

• Bachelor’s or Master’s degree in Statistics, Economics, Computer Science, or a related quantitative field.
• 5+ years of experience in quantitative research, data science, or analytics roles.
• Proficiency in Python (pandas, scikit‑learn, statsmodels) and R (tidyverse, caret, rstan).
• Strong SQL skills for data extraction and manipulation.
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker).
• Excellent written and verbal communication skills, with a portfolio of published analyses or case studies.
• Self‑motivated, detail‑oriented, and comfortable working independently in a fully remote environment.

Preferred Qualifications

• Knowledge of time‑series analysis, panel data econometrics, or causal inference.
• Familiarity with big‑data tools such as Spark or Hadoop.
• Experience presenting to C‑level audiences or leading workshops.

Benefits

• Competitive salary range: $90,000 – $120,000 USD per year, commensurate with experience.
• Unlimited paid time off and flexible work hours.
• Fully remote work setup stipend (up to $1,200 annually).
• Health, dental, and vision insurance with 100% employer coverage.
• 401(k) plan with company match up to 4%.
• Annual professional development budget and access to industry conferences.
• Monthly virtual team retreats and quarterly in‑person meet‑ups in major U.S. cities.

Why DataPulse Analytics?

At DataPulse, we believe that data is the engine of innovation. Our culture encourages experimentation, continuous learning, and cross‑disciplinary collaboration. You’ll have the autonomy to pursue research questions that excite you while contributing to solutions that shape the future of data‑driven decision making.

Next Steps

If you’re ready to bring your quantitative expertise to a forward‑thinking, fully remote team, we’d love to hear from you. Submit your résumé, a brief cover letter, and a portfolio of relevant projects to careers@datapulse.com. Let’s build the next wave of data‑powered insights together.

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