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UX Data Researcher
HTX LabsUX Data Researcher at HTX Labs focusing on designing scalable data systems for immersive training applications. Collaborating with teams to analyze data and optimize learning experiences.
About the role
Key responsibilities & impact- Design, build, and maintain scalable data architectures that support immersive training XR applications, AI-enabled analytics, adaptive learning, and model-ready data pipelines
- Analyze large, multimodal datasets, including telemetry, user behavior, learning outcomes, xAPI/LRS data, qualitative research, and system performance data, to uncover trends, behaviors, and insights that inform product decisions and strategy
- Apply machine learning, predictive analytics, clustering, classification, natural language processing, and generative AI techniques to identify user patterns, forecast outcomes, and optimize learning experiences
- Collaborate with Product, Engineering, Design, and Learning teams to translate research, analytics, and AI findings into actionable recommendations, product requirements, experiments, and measurable improvements
- Develop dashboards, reports, prototypes, and visualization tools that make user behavior, learning effectiveness, AI model performance, and system performance clear to technical and non-technical stakeholders
- Integrate, manage, and evaluate analytics systems that monitor XR application performance, learner activity, user experience signals, and AI-enabled product features in real time
- Partner with stakeholders to define KPIs, success metrics, research questions, evaluation plans, and AI/product measurement frameworks
- Prototype and evaluate AI-assisted research workflows, including automated data coding, insight generation, survey analysis, usability synthesis, persona development, journey analysis, and research repository enrichment
- Research and evaluate emerging AI, data, analytics, and XR technologies to improve product intelligence, analytics capabilities, personalization, system efficiency, and user outcomes
- Support responsible AI practices by helping define data governance, model evaluation criteria, privacy safeguards, bias and risk considerations, explainability needs, and security compliance across data and AI systems
- Foster a culture of data-driven and AI-informed decision-making, experimentation, learning measurement, and continuous product improvement
Requirements
What you’ll need- 5+ years of experience in data analytics, data architecture, UX research, AI/ML analytics, learning analytics, or related fields
- 3+ years of experience working with LRS, LMS, SCORM, xAPI products, learning data ecosystems, or training analytics platforms
- Hands-on experience using AI/ML, predictive analytics, generative AI tools, or AI-assisted research workflows to improve user insights, product analytics, or learning outcomes
- Bachelor’s degree in Computer Science, Data Science, Human-Computer Interaction, Cognitive Science, Information Systems, Learning Science, or a related field
- Experience with agile development processes and cross-functional product teams
- Must be authorized to work in the U.S.
Benefits
Comp & perks- Constantly working towards making HTX Labs the best place to work for everyone
- Celebrating uniqueness and diversity of thoughts, perspectives, and expression
- Encouraging everyone to help transform the way the world learns
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architecturedata analyticsmachine learningpredictive analyticsnatural language processinggenerative AIdata visualizationdashboard developmentdata governanceAI-assisted research workflows
Soft Skills
collaborationcommunicationdata-driven decision-makingexperimentationcontinuous improvementstakeholder engagementanalytical thinkingproblem-solvinguser-centered designadaptability