Senior Staff Applied Scientist defining time - series forecasting science for Kinaxis, a global supply - chain orchestration company. Guiding ML research, evaluation, and production scale - up.
About the role
- Senior mixed-methods researcher leading quantitative and qualitative studies for Pulse Labs, which delivers human-centered product insights to technology companies. Translating multimodal data into strategic recommendations.
Responsibilities
- Partner directly with enterprise clients to scope, design, and align research plans with business goals, technical requirements, and delivery timelines
- Architect and lead end-to-end mixed-methods research using advanced survey design, UX methodologies, and questionnaire frameworks
- Own the planning, execution, and delivery of fast-paced, multi-track research studies
- Collaborate with Program Management, Recruitment, and Operations to monitor project health, safeguard data quality, enforce timelines, and maintain methodological rigor
- Analyze participant video recordings, transcripts, and open-ended feedback to uncover behavioral drivers and product opportunities
- Run advanced statistical analyses, including MaxDiff, conjoint analysis, and factor analysis
- Translate complex data into executive summaries, scorecards, slide decks, and detailed analytical reports
- Present findings and strategic recommendations to cross-functional teams and executive leadership across technology verticals
- Coach and mentor junior researchers and analysts
- Refine research workflows, streamline operational processes, and integrate lessons learned from project cycles
Requirements
- Must be fluent in English
- 5+ years of mixed-methods research experience leading end-to-end quantitative and qualitative investigations in a fast-paced, detail-oriented research operations environment
- Proven expertise across the entire research lifecycle, from study design and advanced data collection to analysis and synthesis
- Deep familiarity with UX, behavioral, and human-centered design frameworks
- Track record of managing client/consulting relationships
- Success translating complex findings and presenting original and peer-conducted research to senior and executive stakeholders
- Strong pattern recognition and anomaly detection skills
- Ability to identify subtle behavioral trends and ensure data integrity across large, multimodal datasets
- High degree of personal ownership, proactivity, and operational rigor
- Comfortable navigating ambiguity and self-initiating solutions in a rapid-response, multi-project setting
- Ability to partner effectively with internal teams, external stakeholders, and clients
- Advanced proficiency in Google Workspace (Docs, Sheets, Slides)
- Adaptability with modern analytical, panel management, and proprietary SaaS platforms
- Graduate degree in Psychology, Survey Methodology, HCI, Human Factors, Research Methods, or a closely related field
- Prior experience in an agency, consultancy, or vendor-side research environment delivering client-facing insights preferred
- Experience conducting research for or working within FAANG/tier-one tech companies preferred
- Hands-on familiarity with next-gen consumer technologies, hardware, or AI-driven product ecosystems preferred
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