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Data Visualization, UI Lead Developer for Venture-Backed Startup

at Quantifind in Palo Alto, CA   —   Apr 24, 2014   |  
Overview
Quantifind is a well-funded startup located in Palo Alto, CA, supported by a tier-1 VC and founded by physicists from Stanford University. We have developed a powerful platform for unstructured-data analytics and are seeking an experienced User Interface virtuoso to unleash its full potential.

The ideal candidate should be passionate about data visualization and capable of designing compelling, exploratory visualizations of data dynamically extracted from huge unstructured repositories. Our product has already elicited from early customers the feeling of power that the best big-data applications bring. The candidate's job will be to combine this processing potential with the sense of front-end magic that the best modern visualization tools provide. With a combination of programming skills, an intuitive sense of design, and an ability to integrate user feedback, we expect the applicant to create a polished product that resonates with the customer's need to process information efficiently, collectively, and visually.

We are most interested in seeing a portfolio that demonstrates both originality and an awareness of usability from an applicant, although several years of experience is a bonus.

This lead developer position comes with a very competitive compensation and equity offer that matches the large impact that the position is expected to provide.

Please email careers@quantifind.com with a resume, portfolio, or questions regarding this opening.

Quantifind welcomes applicants of all origins and will sponsor H1B candidates.
Experience
modern web-based data analysis and visualization tools
building visual (or standard) Information Retrieval/Search interfaces
design; aesthetic principles concerning the communication of quantitative data
big-data science and general methods for large-scale statistical processing of scientific data
user testing, tracking, feedback
Skills
UI, UX, HCI
Javascript, jQuery
HTML5, CSS, Canvas, SVG
Web-based plotting/charting visualization libraries
R, Processing, Tableau
Google Web Toolkit (GWT)
Java
Grails/Rails
Adobe Illustrator, Photoshop
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