
UX Research Intern
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Job Description
REQ ID RDQ227R1057
At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions.
As a UX Research Intern, you will leverage qualitative and quantitative research methods to conduct research that ensures the Databricks user experience is measurably usable, efficient, and delightful. You will learn how to be a successful researcher at a high-growth enterprise technology company that operates at the important intersection of data and AI. You will partner with Engineering, Product Management, and Design, and report to the UX Research lead. You will have a dedicated mentor and will join our intern cohort where you'll connect with product managers, engineers, designers, account teams, other interns, and leaders from across the company.
The impact your will have:
- Conduct user research: Plan and execute qualitative and quantitative research studies to understand the needs, desires, and behaviors of our users.
- Analyze data: Interpret and synthesize research findings to generate actionable insights and recommendations for product improvements.
- Collaborate with teams: Work closely with cross-functional stakeholders to integrate research findings into the product development process.
- Create research reports: Prepare detailed research reports and presentations to communicate insights effectively to stakeholders.
What we look for:
- Currently enrolled in a graduate degree program in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or a related field Pursuing with an expected graduation date of December 2026 or Spring 2027
- Skilled in both qualitative and quantitative research methodologies, such as contextual inquiry, usability testing, diary studies, and survey design and statistics
- Prior research experience through internships, academic labs, or scholarly projects
- Detail-oriented and passionate about understanding user needs and behaviors.
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Submit 10x as many applications with less effort than one manual application.
