Research Intern
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Job Description
About Tableau Research:
Tableau Research is an industrial research team dedicated to Tableau’s mission of helping people see and understand data. They act as a source of new product and technology directions, generating ideas that influence Tableau’s offerings. The team actively participates in the academic community, publishing research in top-tier conferences and journals. Their vision is to be a world-class industry research lab, partnering with internal teams and academia to foster innovation and thought leadership in data and analytics.
Job Description: Research Internship
A Tableau Research internship involves a collaborative project defined by the intern and their mentor. The project aims to advance the intern’s research career and inspire Tableau & Salesforce with innovative ideas for future product development. Internships offer opportunities to explore industry research, gain insights into product development, and potentially publish work at top academic conferences.
Responsibilities:
• Work closely with a mentor from Tableau Research, meeting daily for coordination and planning.
• Present project updates at team meetings.
• Conduct research, potentially involving design and/or prototyping, and possibly user studies.
• Create a final presentation and written report summarizing the project.
• Potentially co-author an academic paper extending beyond the internship.
Research Topics: The internship may focus on various areas, including:
• Visual analytics
• Conversational analytics
• Semantics & data preparation
• Human-computer & multi-modal interaction
• Machine learning
• AI/LLMs
Qualifications:
• Alignment with Tableau’s mission: A passion for research that aligns with Tableau’s goal of helping people understand data.
• Academic standing: A PhD student in good standing with at least two years of research and publishing experience in high-quality conference and journal venues (e.g., VIS, EuroVis, IUI, CHI, CSCW, UIST, AAAI, ACL, EMNLP, NAACL, NeurIPS).
• Technical skills: Strong technical skills depending on the project:
• Prototyping: Proficiency in languages like D3/JavaScript, Python, R, C++, C#, Java, or Go.
• User studies: Experience designing, conducting, and analyzing qualitative and quantitative data from user studies.
• Statistics: Strong computational skills and experience in statistical modeling (data wrangling, model validation, uncertainty assessment).
• UI prototyping: A portfolio showcasing UX/interaction/visualization design.
• Communication skills: Clear written and oral communication abilities.
• Executive skills: Diligence, responsibility, effective time management, ability to balance independent work with deadlines, and prioritization skills.
