Data Scientist - Quantitative Research

Blueprint Technologies•Redmond, WA

4h•$93,000 - $103,000•Remote

About The Position

In this role, you will serve as a senior quantitative researcher, designing and analyzing large-scale studies to inform product, design, and operational decisions that impact employee experience. You will act as an internal research partner, applying rigorous statistical and experimental methods to understand behavior, measure outcomes, and generate actionable insights. This role emphasizes survey research, inferential statistics, and close collaboration with cross-functional stakeholders to improve tools, services, and environments used at scale.

Requirements

Master’s degree in a quantitative field such as statistics, psychology, economics, data science, sociology, or a related discipline
5–7 years of professional experience conducting quantitative analysis or research, ideally in a product, UX, or applied research environment
Strong foundation in inferential statistics and applied quantitative methods
Demonstrated experience designing and analyzing surveys or large-scale quantitative studies
Proficiency in statistical programming using tools such as Python or R
Experience working with survey data, including questionnaire design, sampling, and weighting
Ability to clearly explain complex analyses and findings to non-technical audiences
Strong analytical thinking, attention to detail, and problem-solving skills
Proven ability to collaborate effectively in cross-functional, interdisciplinary teams

Nice To Haves

Advanced degree (PhD preferred) in a quantitative or behavioral science discipline
Background in quantitative psychology, behavioral science, or applied research methods
Experience conducting UX, product, or behavioral research
Familiarity with experimental design, A/B testing, or causal inference techniques
Experience translating quantitative research findings into concrete design or product decisions
Comfort supporting standardized metrics, dashboards, or longitudinal research programs

Responsibilities

Design, execute, and analyze large-scale quantitative studies, including surveys, experiments, and observational research
Apply inferential statistical methods such as regression analysis, hypothesis testing, and multivariate techniques to answer complex research questions
Develop and implement sampling strategies, weighting approaches, and data quality checks to ensure statistical rigor and validity
Analyze complex datasets using statistical programming languages and translate results into clear, actionable insights
Communicate findings effectively to cross-functional partners, including product, design, and research stakeholders
Translate quantitative insights into practical recommendations that inform strategy, design decisions, and product improvements
Collaborate with researchers and designers to refine research questions, measurement approaches, and success metrics
Document methodologies, assumptions, limitations, and analytical decisions to support transparency and reproducibility
Contribute to ongoing research programs through standardized metrics, dashboards, and analytical frameworks where appropriate