Data Scientist (Quantitative Research)

TL;DR

Senior Data Scientist (Quantitative Research): Designing and analyzing large-scale studies to inform product, design, and operational decisions that impact employee experience with an accent on survey research, inferential statistics, and collaboration with cross-functional stakeholders. Focus on applying rigorous statistical and experimental methods to understand behavior, measure outcomes, and generate actionable insights.

Location: 100% Remote (US - Washington State)

Salary: $93,000–$103,000 annually

Company

hirify.global is a technology solutions firm headquartered in Bellevue, Washington, helping organizations unlock value from existing assets by leveraging cutting-edge technology.

What you will do

• 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.
• Develop and implement sampling strategies, weighting approaches, and data quality checks.
• 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.

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.
• Proven ability to collaborate effectively in cross-functional, interdisciplinary teams.

Nice to have

• 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.

Culture & Benefits

• Comprehensive medical, dental, and vision coverage.
• Flexible Spending Account and 401k program.
• Competitive PTO offerings and Parental Leave.
• Opportunities for professional growth and development.
• Work with multiple clients and teams, gaining hands-on experience with technology.
• Emphasis on unique perspectives and diverse skillsets.