Details
Posted: 09-Jun-22
Location: Seattle, Washington
Type: Full Time
Salary: Open
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.
The University of Washington 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 acknowledges the Coast Salish peoples of this land, the land which touches the shared waters of all tribes and bands within the Suquamish, Tulalip and Muckleshoot nations. The UW serves a diverse population of 80,000 students, faculty and staff, including 25% first-generation college students, over 25% Pell Grant students, and faculty from more than 70 countries.
EarthLab. iis seeking a full-time Data Scientist for research on outdoor recreation and nature-based tourism. 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. The successful candidate will advance methods that mix traditional survey methods with data from citizen science, social media, and mobile applications to more effectively measure visitation to public lands and generate fine-scale maps of where and how people recreate outdoors. The Data Scientist will be responsible for developing, improving, and maintaining existing analysis workflows. They will also be involved in many aspects of data management, analysis, and visualization to support projects with academic, governmental, and NGO partners. The successful candidate will be an organized, friendly, self-directed individual who is passionate about working on collaborative projects for social good.
EarthLab is a visionary institute that pushes boundaries to address our most pressing environmental challenges, with a current focus on climate and its intersection with social justice. EarthLab does this by connecting the University of Washington (UW) to communities, businesses, non-profits, public agencies, Tribal nations and others to co-produce actionable research that generates solutions and strategies for local and global impact. EarthLab’s vision, an equitable, just and sustainable world where people and planet thrive, supports one of the University’s biggest goals. As a Carnegie-classified Community Engagement University, the UW aspires to be the #1 university in the world as measured by impact. EarthLab is inspired by and committed to this challenge.
RESPONSIBILITIES:
•Develop 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. •Work closely and collaboratively with other team members to assist with data management and analysis tasks. •Create maps and figures for visualizing raw data and model results in publications and interactive dashboards. •Contribute to reports and manuscripts summarizing methods and major findings. •Communicate with project partners about opportunities to improve decision-making and deepen the understanding of the recreational value of public lands.
MINIMUM REQUIREMENTS:
•Bachelor’s degree in any field, with coursework in natural or social sciences •Three months of job-related experience
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
ADDITIONAL REQUIREMENTS:
•Excellent organizational, leadership, teamwork, and communication skills •Demonstrated success using coding languages such as python and R
DESIRED:
•Master’s degree in Data Science, Computer Science, or related technical field •Interest in outdoor recreation and public land management •Experience managing large and varied sources of data •Demonstrated experience with open-source software projects, version control, and linux •Experience developing machine learning models •Demonstrated experience developing applications with JavaScript, Node, ue, and React •Experience deploying virtual machines and Docker containers •Experience with GIS principles and software •Ability to manage large volumes of data and perform statistical analyses •Experience developing projects and communicating results with decision-makers or other partners
Diversity Equity and Inclusion: 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. EarthLab acknowledges the systemic racism that exists in the environmental sector and within environmentalism. We believe every member on our team enriches our diversity by exposing us to a broad range of ways to understand and engage with the world, identify challenges, and to discover, design and deliver solutions. We are seeking candidates who are committed to creating an equitable, diverse and inclusive work environment where all voices are considered and valued.
Application Process:
When applying, please submit a resume and cover letter describing your interests in the position. For more information, email Spencer Wood (spwood@uw.edu).
The 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. These assessments may include Work Authorization, Cover Letter and/or others. Any assessments that you need to complete will appear on your screen as soon as you select “Apply to this position”. 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 “My Jobs” page. If you select to take it later, it will appear on your "My Jobs" page to take when you are ready. Please note that your application will not be reviewed, and you will not be considered for this position until all required assessments have been completed. |