[ESIP-all] Job posting - Computational and Environmental Data Science Specialist

[Jonathan Petters]

Hi all, a data science job opportunity here at VT! Apply and share as you
see fit.

The job posting is below my signature line and at the following link

Computational and Environmental Data Science Specialist
<https://careers.pageuppeople.com/968/cw/en-us/job/522149/computational-and-environmental-data-science-specialist>

-Jon
-- 
Jonathan Petters Ph.D.
Assistant Director, Data Management & Curation Services
Data Services, University Libraries
Virginia Tech
(540) 232-8682
https://lib.vt.edu/research-teaching/data-services.html
ORCID: 0000-0002-0853-5814
he/his/him

*****

The Ecological Forecasting Project https://www.EcoForecastProjectVt.org
<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ecoforecastprojectvt.org%2F&data=05%7C01%7Croslyng%40vt.edu%7C4706a8632e184475974d08daadfa7607%7C6095688410ad40fa863d4f32c1e3a37a%7C0%7C0%7C638013588482886773%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=T6w%2FD9OnWy1MZDa%2BSUit5vV8dJjq%2FNwBOZhHG0fbwsc%3D&reserved=0>
at Virginia Tech is recruiting a computational research specialist to
develop, manage, and improve forecasting workflows across multiple domains
in ecology. The candidate will be chosen based on prior experience, with
salary commensurate with experience and expertise. This position can be
remote or in-person with a preference for in-person; remote work would be
synchronous with the team in the eastern U.S. time zone.

We seek an energetic and enthusiastic team member to join our innovative
and dynamic research group to help develop real-time forecasting software
and computing infrastructure that will inform day-to-day environmental
resource management. This position will be a core member of our research
team, which includes multiple faculty members, post-docs, and students
working at the intersection of environmental science and data science to
co-create usable software and data products for our research team and the
broader community. This position will provide many opportunities for skill
and professional growth within our interdisciplinary collaborative team,
which integrates team science, community engagement, and education within
our scientific mission.

Responsibilities for this position include: management of cloud-based
environmental data and workflows, web dashboard development and deployment,
development of open-source software, development of open training
materials, supporting programming efforts of the team, and administration
and upkeep of servers and cloud infrastructure.

Candidates should submit a cover letter addressing how they meet the
required and preferred qualifications described below, resume/CV detailing
relevant work experience, and list of three references with their contact
information. This position is for at least two years, contingent upon
satisfactory performance reviews. Position will remain open until filled.
Application review will begin on November 15, 2022.

*Required Qualifications*

• Bachelor’s degree in data science, environmental science, statistics,
computer science, or related field
• Must have excellent teamwork and collaborative skills to work effectively
on computational research
• Proficiency in R (or similar programming language)
• Experience with command line interface
• Experience with collaborative coding using Git and GitHub
• Experience with data visualization in R or similar language
• Excellent and demonstrated organizational and efficient time management
skills
• Excellent communication skills, including verbal, written, and graphical
communication skills

*Preferred Qualifications*

• Master’s degree in data science, environmental science, statistics,
computer science, or related field
• Experience with environmental data and/or models
• Experience working in a highly interdisciplinary collaborative team
• Experience with command line interface in Linux environments
• Experience analyzing time-series datasets
• Experience developing RShiny applications
Apply at
https://careers.pageuppeople.com/968/cw/en-us/job/522149/computational-and-environmental-data-science-specialist
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