GeoYeti
Analytic Methodologist
GeoYeti, Springfield, Virginia, us, 22161
Overview:
GeoYeti is a division of Bcore, a full-spectrum intelligence company built on trust and teamwork whose core mission is to innovate within the national security space. GeoYeti focuses on advanced analytics, data science, development of the applications that support such work. We seek mid-level
Analytic Methologist
to support a client in
St Louis, MO or Springfield, 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 6 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: Address cultural, organizational, and methodological transformation and change
Build teams which collectively have significant breadth and depth of understanding of GEOINT, All-Source, and OSINT analysis tradecrafts, to include a deep understanding of the available (traditional) tools and data sources that are used within these tradecrafts
Lead several multidisciplinary teams dispersed across several facilities and classification domains
Triage and task-organize around rapidly emerging mission requirements
Create and manage formal, structured feedback and assessment plans pertaining to geospatial workflows and tools
Qualifications: Required Qualifications: Active TS/SCI clearance with required to start BS or higher in a related discipline or 7+ years related experience
Experience applying multidisciplinary mathematical and statistical models via programming languages to large datasets to extract patterns, relationships, and anticipatory behavioral likelihoods
Experience with advanced analytic methods
Experience with ABI, SOM, automation, scripting, data analysis, and data visualization
Desired Qualifications: Minimum 3 years experience working with non-traditional geospatial data sources
Demonstrated experience working with OSINT/unclassified data sources to answer intelligence questions
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.
GeoYeti is a division of Bcore, a full-spectrum intelligence company built on trust and teamwork whose core mission is to innovate within the national security space. GeoYeti focuses on advanced analytics, data science, development of the applications that support such work. We seek mid-level
Analytic Methologist
to support a client in
St Louis, MO or Springfield, 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 6 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: Address cultural, organizational, and methodological transformation and change
Build teams which collectively have significant breadth and depth of understanding of GEOINT, All-Source, and OSINT analysis tradecrafts, to include a deep understanding of the available (traditional) tools and data sources that are used within these tradecrafts
Lead several multidisciplinary teams dispersed across several facilities and classification domains
Triage and task-organize around rapidly emerging mission requirements
Create and manage formal, structured feedback and assessment plans pertaining to geospatial workflows and tools
Qualifications: Required Qualifications: Active TS/SCI clearance with required to start BS or higher in a related discipline or 7+ years related experience
Experience applying multidisciplinary mathematical and statistical models via programming languages to large datasets to extract patterns, relationships, and anticipatory behavioral likelihoods
Experience with advanced analytic methods
Experience with ABI, SOM, automation, scripting, data analysis, and data visualization
Desired Qualifications: Minimum 3 years experience working with non-traditional geospatial data sources
Demonstrated experience working with OSINT/unclassified data sources to answer intelligence questions
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.