Senior Geospatial Data Scientist

1w1 week ago

GeoYeti

Reston, US · Full-time · $165,000 – $215,000

About this role

GeoYeti focuses on advanced analytics, data science, development of the applications that support such work. We seek a Senior Geospatial Data Scientist to support a client in Reston, VA. We support a broad range of IC and DoD clients, though team members interact with end users around the globe.

Identify corollary datasets to compare against model outputs, especially those unlikely used as part of the training set. Assist in the evaluation of the effectiveness of ML models. Leverage expertise in geospatial data handling for mission-critical applications.

Team members engage directly with global end users across IC and DoD portfolios. Work in a collaborative environment supporting advanced analytics initiatives. Contribute to applications that drive geospatial insights for high-stakes operations.

Expect competitive pay and benefits like up to 6 percent 401k contribution and 100 percent company-paid medical premiums including deductible. Enjoy fully covered dental, vision, life, and disability insurance. Join a diverse, equal opportunity employer committed to inclusion.

Requirements

Minimum Top Secret clearance required to start; active TS/SCI preferred
Expert level understanding of Python, including geospatial libraries like Fiona and Shapely
Expert level understanding of spatial data storage formats such as ESRI GeoDatabases, shapefiles, GeoPackage, and text-based storage in spatial databases such as PostGIS
Understanding of storage formats and methodologies for ML models
Proficiency in geospatial data processing and analysis
Experience applying machine learning to spatial datasets
Ability to handle large-scale geospatial datasets for IC/DoD applications

Responsibilities

Identify corollary datasets to compare against model outputs, especially those unlikely used as part of the training set
Assist in the evaluation of the effectiveness of ML models
Process and analyze geospatial data using Python libraries like Fiona and Shapely
Manage spatial data in formats such as ESRI GeoDatabases, shapefiles, and GeoPackage
Query and store spatial data in databases like PostGIS
Develop methodologies for storing and deploying geospatial ML models
Support global end users with geospatial analytics solutions

Benefits

Up to 6 percent company contribution into 401k
100 percent company paid premiums for medical, including 100 percent of medical deductible
100 percent company paid premiums for dental, vision, life, short- and long-term disabilities
Equal opportunity employer committed to diverse environment