UX Data Researcher
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Job Description
UX 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.
Responsibilities:
- 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:
- 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:
- 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
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