May 16, 2019
The eScience Institute at the University of Washington is seeking outstanding candidates for the position of Data Scientist. The ideal candidate will have expertise in one or more areas related to data science (machine learning, statistics, databases, large-scale data systems, visualization, and interfaces that facilitate large-scale data understanding), demonstrated experience in software engineering and open-source software, and demonstrated ability to use these skills to solve problems in an applied domain discipline. Aimed at top-notch candidates, this position offers the opportunity for world-class applied research – in collaboration with some of the best researchers in the world – tackling challenging data science problems in multiple domains.
The eScience Institute’s mission is to engage researchers across disciplines in developing and applying advanced computational methods and tools to real world problems in data-driven science and research. With a newly announced sustainable core funding from the University of Washington and existing external funding from the Gordon and Betty Moore and the Alfred P. Sloan Foundations, we are significantly advancing our mission.
In this role, the Data Scientist will both plan and execute data science research, translate research results into solutions and produce practical applications that will deliver lasting impact across domains. Data Scientists are expected to teach data science skills and methods through office hours, technical workshops, tutorials, and Incubator projects. Research projects will be sourced through joint collaborations with eScience faculty and other researchers, and through the independent research goals of the applicant. Working as part of an existing team, successful candidates will have ample opportunity to publish their research, pursue external funding with collaborators across disciplines, and contribute to collaborative software development, innovative technical consulting, development and delivery of training, and other activities designed to advance the research and practice of data-driven and data-intensive discovery across fields.
Positions are listed at three experience levels. For full position descriptions, please follow the links below. Pay particular attention to the “requirements” and “desired experience” sections to determine which grade to apply at:
Data Scientist (Research Scientist 3, grade 8) – Requisition #167450
Data Scientist (Research Scientist 4, grade 9) – Requisition #167449
Senior Data Scientist (Research Scientist-Senior, grade 10) – Requisition #167451
Questions may be directed to eScience Executive Director Sarah Stone at firstname.lastname@example.org.