Data Scientist– Quantitative Research
- California, United States
- Remote
- Negotiable
Full-Time
Deadline: 30 Jan, 2026
- Posted: 3 weeks ago
- Vacancy: 1
- Gender: Male
In this role, you will partner closely with research, design, and product stakeholders to transform ambiguous questions into clear, statistically rigorous analyses that inform product and business decisions. You will work hands-on with survey and behavioral data, applying sound quantitative methods to evaluate hypotheses, uncover patterns, and generate actionable insights.
Key Responsibilities
Quantitative Research & Analysis
- Translate open-ended product or research questions into well-defined, testable analytical problems
- Design and analyze surveys and large-scale quantitative studies, including defining sampling strategies and success metrics
- Clean, prepare, and validate survey or behavioral datasets for analysis
- Apply inferential statistical techniques to test hypotheses and explore relationships in data
- Evaluate assumptions, identify sources of bias, and assess limitations in study design and results
Required Qualifications
- 5+ years of experience applying inferential statistics and quantitative research methods in a professional setting
- Strong foundation in statistical concepts, including hypothesis testing, sampling, and experimental or quasi-experimental design
- Demonstrated experience designing, executing, and analyzing surveys or large-scale quantitative studies
- Proficiency in statistical programming using R, Python, or similar tools for data analysis
Preferred Qualifications
- Master’s degree or PhD in quantitative psychology, behavioral science, statistics, social science, or a related field
- Experience working with behavioral or user research data in product-focused environments
- Familiarity with best practices for research documentation, reproducibility, and analytical transparency
How To Apply
Please reach out to: recruiting@bpcs.com