{"id":32946,"date":"2020-05-21T15:08:57","date_gmt":"2020-05-21T22:08:57","guid":{"rendered":"http:\/\/blogs.evergreen.edu\/mesweekly\/?p=32946"},"modified":"2020-05-21T15:08:57","modified_gmt":"2020-05-21T22:08:57","slug":"job-data-scientist-uw-earthlab-seattle-wa","status":"publish","type":"post","link":"https:\/\/sites.evergreen.edu\/mesweekly\/job-data-scientist-uw-earthlab-seattle-wa\/","title":{"rendered":"Job: Data Scientist, UW EarthLab (Seattle, WA)"},"content":{"rendered":"

<\/p>\n

\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n\n\n\n
\n\n\n\n\n\n\n\n\n\n\n\n\n
Req #:<\/td>\n179274<\/td>\n<\/tr>\n
Department:<\/td>\nEARTHLAB<\/td>\n<\/tr>\n
Job Location:<\/td>\nSeattle Campus<\/td>\n<\/tr>\n
Posting Date:<\/td>\n05\/14\/2020<\/td>\n<\/tr>\n
Closing Info:<\/td>\nOpen Until Filled<\/td>\n<\/tr>\n
Salary:<\/td>\nSalary is commensurate with education and experience.<\/td>\n<\/tr>\n
Shift:<\/td>\nFirst Shift<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/h3>\n<\/td>\n<\/tr>\n

As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem solving skills and dedication to build stronger minds and a healthier world.<\/p>\n

UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits and natural beauty. All of which has allowed the UW to be nationally recognized as a \u201cGreat College to Work For\u201d for six consecutive years.<\/p>\n

EarthLab<\/b>\u00a0has an outstanding opportunity for a\u00a0Data Scientist<\/b>\u00a0for research on outdoor recreation and nature-based tourism.\u00a0 The employee will join a team of researchers and practitioners who develop novel methods and information to inform public land management and improve opportunities for outdoor recreation.\u00a0 The successful candidate will advance methods that mix traditional survey methods with data from citizen science and social media to more effectively measure park use and generate fine-scale maps of where and how people recreate.\u00a0 The Data Scientist will be responsible for developing, improving, and maintaining existing workflows for managing these various data streams. They will also be involved in many aspects of data management, analysis, and visualization.\u00a0 The successful candidate will be an organized, friendly, self-directed individual who is passionate about working on collaborative projects for social good.<\/p>\n

EarthLab is a new initiative at the University of Washington seeking to link and apply the amazing environmental research happening at the UW with decision makers working on solutions to environmental challenges. Stewarded by the College of the Environment, EarthLab supports application-focused interdisciplinary collaboration across and beyond the University of Washington. EarthLab focuses on addressing our world\u2019s most pressing environmental challenges \u2013 catalyzing collaborations with partners across the private, public, and non-profit sectors. By linking knowledge and action to accomplish meaningful change, EarthLab will help develop lasting solutions that are scientifically sound, technically feasible, and economically viable, while promoting equity and justice.<\/p>\n

EarthLab and the University of Washington (UW) are committed to developing a diverse and culturally aware workplace, and the promotion of diversity and inclusivity among our students, faculty, staff, and public. Thus, we are strongly seeking candidates whose experiences have prepared them to fulfill our commitment to inclusion and have given them the confidence to fully engage audiences from a wide spectrum of backgrounds. The UW is located in the greater Seattle metropolitan area, with a dynamic, multicultural community of 3.7 million people and a range of ecosystems from mountains to ocean. The UW serves a diverse population of 80,000 students, faculty and staff, including 25% first-generation college students and faculty from over 70 countries. Over 25% of UW students receive need-based federal financial aid.<\/p>\n

Responsibilities include:<\/b>
\n\u2022Develop and maintain software and scripted workflows that ingest, store, manipulate, and output data on park use from on-site surveys, social media platforms, and crowd-sourced text messages.
\n\u2022Work closely and collaboratively with other team members to assist with data management and analysis tasks.
\n\u2022Create maps and figures for visualizing raw data and model results in publications and interactive dashboards.
\n\u2022Contribute to reports and manuscripts summarizing methods and major findings
\n\u2022Communicate with project partners about opportunities to improve decision-making and deepen the understanding of the recreational value of public lands.<\/p>\n

As a UW employee, you will enjoy generous benefits and work\/life programs.\u00a0 For detailed information on Benefits for this position,\u00a0click here.<\/a><\/b><\/p>\n

To apply, please submit a resume and cover letter describing your interests in the project.
\nFor more information, email Spencer Wood (spwood@uw.edu).<\/p>\n

Requirements<\/b>
\n\u2022Bachelor\u2019s degree in any field, with coursework in natural or social sciences
\n\u2022At least three months of job-related experience
\n\u2022Excellent organizational, leadership, teamwork, and communication skills
\n\u2022Demonstrated success using coding languages such as python and R<\/p>\n

Equivalent education\/experience will substitute for all minimum qualifications except where there are legal requirements such as license\/certification\/registration.<\/p>\n

Desired
\n\u2022Interest in outdoor recreation and public land management
\n\u2022Experience managing large and varied sources of data, and ability to think critically about the larger organizational structure
\n\u2022Demonstrated experience with open-source software projects, version control, and linux
\n\u2022Demonstrated experience developing applications with JavaScript (node.js and vue framework), Leaflet, and Flask
\n\u2022Experience deploying virtual machines and Docker containers
\n\u2022Experience with GIS principles and software
\n\u2022Ability to manage large volumes of data and perform statistical analyses<\/p>\n

Application Process:
\nThe application process for UW positions may include completion of a variety of online assessments to obtain additional information that will be used in the evaluation process.\u00a0 These assessments may include Workforce Authorization, Cover Letter and\/or others.\u00a0 Any assessments that you need to complete will appear on your screen as soon as you select \u201cApply to this position\u201d. Once you begin an assessment, it must be completed at that time; if you do not complete the assessment you will be prompted to do so the next time you access your \u201cMy Jobs\u201d page. If you select to take it later, it will appear on your “My Jobs” page to take when you are ready.\u00a0Please note that your application will not be reviewed, and you will not be considered for this position until all required assessments have been completed.<\/b><\/td>\n<\/tr>\n

\n
<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Apply here:<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

https:\/\/uwhires.admin.washington.edu\/eng\/candidates\/default.cfm?szCategory=jobprofile&szOrderID=179274<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/article>\n<\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":4,"featured_media":23918,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_mi_skip_tracking":false,"_s2mail":"yes"},"categories":[14,15],"tags":[4,16,7,13,8],"_links":{"self":[{"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/posts\/32946"}],"collection":[{"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/comments?post=32946"}],"version-history":[{"count":0,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/posts\/32946\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/"}],"wp:attachment":[{"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/media?parent=32946"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/categories?post=32946"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.evergreen.edu\/mesweekly\/wp-json\/wp\/v2\/tags?post=32946"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}