Salary
💰 $123,750 - $198,000 per year
About the role
- Work Location: This role is based out of our Seattle office and follows a hybrid schedule; onsite Tuesdays through Fridays, remote on Mondays.
- Design, lead, and execute quantitative research studies, including statistical modeling, survey design, and experimental methodologies.
- Conduct and analyze research focused on hardware integration, user behavior, and attitudes, ensuring data-driven insights.
- Evaluate and demonstrate the efficacy and impact of VR and immersive training solutions through robust data analysis.
- Clearly translate complex quantitative findings into actionable recommendations for diverse stakeholders.
- Collaborate cross-functionally with design, engineering, and product management teams to align research strategies with product roadmaps and user needs.
- Integrate AI-driven methodologies to enrich research insights and inform strategic decisions.
- Mentor and guide junior researchers, fostering a culture of analytical rigor and continuous learning.
- Regularly engage in onsite user testing and interviews at law enforcement agencies, typically at least quarterly, with additional travel as needed.
Requirements
- Bachelor's degree or equivalent experience in Psychology, Cognitive Science, Human-Computer Interaction (HCI), Data Science, Statistics, or related quantitative field.
- 8+ years of quantitative user research experience with a well-developed background in data science, statistics, or advanced analytics.
- Demonstrated experience conducting quantitative research involving hardware products. Experience with immersive technologies (e.g., VR/AR) is beneficial but not required.
- Proven expertise in statistical analysis, experimental design (A/B testing, surveys, controlled studies), and data visualization techniques.
- Experience designing and executing complex research projects that clearly demonstrate training efficacy and actionable insights.
- Ability to proficiently communicate quantitative insights to both technical and non-technical stakeholders, guiding alignment across teams.
- Solid familiarity with AI-driven methods in user research (predictive modeling, NLP, clustering) and their functional applications.
- Comfort working autonomously in dynamic, dynamic environments, managing multiple priorities and tight timelines with confidence and clarity.
- Some roles may require legal eligibility to work in a firearms environment.