Senior Geospatial Data Scientist

at  GeoYeti

Overview:
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 a common theme across our portfolio is that our team members, regardless of their role, interact with the end users around the globe.
GeoYeti offers competitive pay, a sign-on or relo bonus, and amazing benefits, to include up to 10 percent company contribution into your 401k; 100 percent company paid premiums for medical (to include 100 percent of your medical deductible), dental, vision, life, and short- and long-term disabilities; tuition reimbursement; gym stipend; commuter stipend ($10/day after tax); automatic enrollment in the GeoYeti 360 Bonus Program; and many others.

Responsibilities:

• Identify corollary datasets to compare against model outputs, especially those with which were unlikely used as part of the training set.
• Assist in the evaluation of the effectiveness of ML models.

Qualifications:

• Active TS/SCI with FSP required to start.
• 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.
• Ideally an understanding of storage formats and methodologies for ML models.

What you can expect from us:
GeoYeti is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.
GeoYeti does not have a vaccination mandate applicable to team members. Vaccination requirements will depend on the status of the federal contractor mandate and customer site requirements. Regardless of vaccination status, personnel are required to wear masks while indoors when the CDC COVID-19 Community Level is High

• Identify corollary datasets to compare against model outputs, especially those with which were unlikely used as part of the training set.
• Assist in the evaluation of the effectiveness of ML models