MySOC is focused on measuring and mapping soil carbon in
agricultural landscapes using a novel combination of existing
technologies. We gather, interpret, and share soil data that can
support the transition to a regenerative, resilient and carbon
friendly agriculture system.
Post-Doctoral Geospatial Data Scientist Role Overview
The MySOC research program is looking for an enterprising and
passionate Post-Doctoral Geospatial Data Scientist, to support its
data analysis and visualization efforts, unifying data provided by
landowners and managers with open data sources. Working
collaboratively across MySOC’s data acquisition and analysis
efforts, this person will help scale the organization’s modeling
capabilities and ensure that its system remains innovative,
iterative and improving.
The Geospatial Data Scientist will report to Prof. Kris Covey,
Environmental Studies and Sciences on data acquisition and analysis
while supporting the MySOC Program Director as needed.
Roles & Responsibilities
Compensation & Benefits
- Work with MySOC team members to gather, assess, organize,
profile, and clean data for geospatial analysis
- Code in Google Earth engine and introduce additional analytical
tools into processes that can be used across regions
- Provide mentorship and professional development opportunities
to undergraduate environmental sciences students inside an academic
The Geospatial Data Scientist compensation is competitive, includes
benefits and is eligible for compensation increases based on
performance and available funding resources. Ideal candidates will
be located near Skidmore College or able to be present on campus a
minimum of three days a week during the academic school year.
In order to prevent or significantly reduce the risk of
COVID-19 transmission at Skidmore College and protect all members
of the College community from infection, successful candidates will
be required to submit proof of full vaccination as a condition of
employment, unless exempted as a reasonable accommodation of a
medical condition or sincerely religious belief or
Skidmore College is committed to being an inclusive campus
community and, as an Equal Opportunity Employer, does not
discriminate in its hiring or employment practices on the basis of
race, color, creed, religion, gender, age, national or ethnic
origin, physical or mental disability, military or veteran status,
marital status, sex, sexual orientation, gender identity or
expression, genetic information, predisposition or carrier status,
domestic violence victim status, familial status, dating violence,
or stalking, or any other category protected by applicable federal,
state or local laws.
- 3-5+ years of experience with advanced geostatistical
approaches to environmental issues.
- Familiarity with a broad base of analytical tools and databases
(including, but not limited to):
- Geospatial modeling and analysis (machine learning, Bayesian
approaches, geo-statistical methods, spatio-temporal modeling)
- National and global geospatial datasets, preferably with
exposure to soil databases such as SoilGrids, gSSURGO, Polaris
- Experience using remotely-sensed products: Landsat, Sentinel,
Planet, LiDAR, UAV etc.
- Exposure to a suite of GIS and Remote Sensing software (ArcGIS
Pro, QGIS, ENVI, ERDAS, etc)
- Geospatial analysis using the following languages (e.g. R,
- Web programming for geospatial applications
- Data management skills (e.g. data integrity, QA/QC, database
- Cartographic/visualization expertise in both print and web
- Passionate, mission-driven and capable of running projects
- Excellent organizational skills with strong attention to
detail, efficient time management, and the ability to prioritize
- An entrepreneurial and self-starting spirit, excited about
exploring the unknown
- Strong written and verbal communication skills
- Ability to work effectively in collaboration with diverse
groups of people
Employment at Skidmore College is contingent upon an acceptable
background check result.
CREATIVE THOUGHT MATTERS.