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UX Research Engineer - AI and Data Insights (d/f/m)

Adevinta 2021

Berlin

Hybrid

EUR 60.000 - 80.000

Vollzeit

Vor 17 Tagen

Zusammenfassung

A leading automotive marketplace in Berlin is seeking a skilled UX Researcher to merge UX research with data engineering capabilities. This hybrid position emphasizes user insights through AI and data analysis, requiring 3+ years in UX research and proficiency in Python and SQL. The ideal candidate will drive research operations and collaborate closely with teams to optimize workflows and insights. Competitive salary and hybrid work model offered.

Qualifikationen

  • 3+ years of professional experience in UX research and data science/analysis.
  • Proficiency in Python, SQL, and data analysis tools.
  • Experience with NLP and text analysis techniques.

Aufgaben

  • Design mixed-methods studies combining traditional research with AI-powered analysis.
  • Create automated data collection and analysis systems for research metrics.
  • Implement AI/ML workflows to categorize and summarize user feedback.

Kenntnisse

UX research
Data analysis
Python
SQL
AI/ML techniques
NLP

Ausbildung

MS in quantitative field

Tools

BigQuery
AWS

Jobbeschreibung

About the Role

We are seeking a UX Researcher with data engineering and AI capabilities to join the UX chapter at Mobile.de, Germany's largest automotive marketplace. This hybrid role combines deep UX research expertise with technical skills to transform our understanding of users at scale.

You'll work at the intersection of user research and data science, building automated systems that turn user data into actionable insights while maintaining a human-centered focus. This role offers the opportunity to shape the future of research operations through technical innovation.

The mobile.de UX team is made up of over 30 designers, researchers, and content specialists. As part of the Strategy and Excellence team within the UX chapter, you'll help shape the future of our product and drive meaningful improvements in how we work. You'll also collaborate closely with our data organization to inform and elevate our approach.

What You'll Do

  • Lead Data-Driven UX Research: Design mixed-methods studies combining traditional research with AI-powered analysis of user data from surveys, interviews, app reviews, and behavioral analytics

  • Build Research Data Systems: Create automated data collection and analysis systems for research metrics; integrate UX insights with platforms like BigQuery and Looker

  • Develop AI-Assisted Tools: Implement AI/ML workflows (including LLMs and NLP) to categorize, summarize, and extract patterns from user feedback at scale

  • Drive Research Operations: Establish data standards and knowledge management systems; champion experimental AI approaches in UX research

  • Collaborate and Influence: Partner with product, design, engineering, data teams, and GenAI acceleration team to translate research findings into actionable recommendations

What You'll Bring

  • Professional Foundation: 3+ years of professional experience spanning UX research and data science/analysis. Your expertise may lean toward either UX research or data analysis, but you should have working knowledge and genuine curiosity about both domains.

  • Technical Skills: Proficiency in Python, SQL, and data analysis tools; experience with cloud platforms (BigQuery, AWS) and building automated data systems

  • AI & ML Expertise: Experience applying AI/ML techniques, especially NLP and text analysis; familiarity with LLMs and generative AI technologies

  • Research Operations: Experience in knowledge management, process optimization, and technical communication across disciplines

Preferred Qualifications

  • MS in quantitative field (Computer Science, Statistics, HCI, Psychology, Engineering)

  • Experience with research infrastructure development

  • German language skills (beneficial but not required)

Why This Role Matters

This role bridges the gap between traditional UX research and AI-powered insights, combining 'the why and what next' of user research with 'the what and how many' of data analysis. You'll be instrumental in evolving our research capabilities through AI while maintaining the human-centered focus that drives great user experiences.

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