Tableau Research is an industrial research team focused on Tableau's mission of helping people see and understand data. We actively work to be a source of new and inspiring product and technology directions, generating ideas that influence, drive, or significantly change what Tableau delivers to customers. We are also active members of the academic community, where we regularly publish and participate in top-tier conferences and journals.

The vision for Tableau Research is to operate as a world-class industry research lab where we partner with internal teams and academia to foster innovation and serve as thought leaders, advancing the state of the art in data and analytics.
What you'll be doing...

A Tableau Research internship typically consists of a project that is mutually discussed and agreed upon between the intern and their mentor. The goal of the project is to help further the intern's research career and inspire Tableau & Salesforce with new ideas for future product roadmaps. A research internship also provides excellent opportunities for exploring industry research, gaining insights into product development, and publishing work at top academic conferences.

As a PhD Tableau Research intern you will work closely with a mentor who is a member of Tableau Research. You will typically meet daily with your mentor to coordinate, plan, and help set expectations. You will be asked to present and provide updates a few times at our team meetings. Research typically involves designing and/or prototyping, along with possible user studies. You will be expected to create a final presentation and write-up of the project. Often, the project evolves into co-authoring an academic paper that could extend beyond the internship period.

Research topics include visual analytics, conversational analytics, semantics & data preparation, human-computer & multi-modal interaction, machine learning, AI/LLMs.
Who you are...

• Aligned with our mission. Your research passion aligns with Tableau's mission to help people see and understand data.
• You are a PhD student in good academic standing with at least a couple years of research and publishing experience at high-quality conference and journal venues. In the past, interns have published at venues such as VIS , EuroVis , and IUI , for example. Other venues could include CHI, CSCW, UIST, IUI, AAAI, ACL, EMNLP, NAACL, and NeurIPS. Having previous internship experience is a plus, but not a requirement.
• Highly technical. If your project involves prototyping, you have strong technical skills to prototype in a language of your choice, e.g., D3/JavaScript, Python, R, C++, C#, Java, Go. If your project is study-focused, you have strong experience with setting up user studies, collecting, analyzing, and distilling qualitative and quantitative data. If your project is oriented towards statistics, you have strong computational skills and experience in statistical modeling, including data wrangling, model validation, and uncertainty assessment. If your project involves prototyping user interfaces, you have a portfolio of UX / interaction / visualization design examples.
• An effective communicator. You have clear written and oral communication skills.
• Demonstrates strong executive skills. You are diligent, take personal responsibility for your work, and manage your time effectively. You excel at balancing independent work with meeting deadlines, and you prioritize tasks efficiently to deliver high-quality results on time.