Jan 13
Top Secret/SCI
CI Polygraph
IT - Data Science
Herndon, VA (On-Site/Office)
*Please only apply if you have a TS/SCI with a CI poly*
Required Qualifications:
Active TS/SCI clearance with CI poly required to start
Python (3+ years) especially with proven experience in report and dashboard generation, and manipulating data larger than memory.
SQL and relational databases (1+ year)
Experience manipulating and managing spatial data in a database (1+ year)
Desired Qualifications:
Experience reviewing data in a GUI GIS tool such as ArcGIS, ArcGIS Pro, QGIS, etc
Experience summarizing data in dashboard tools such as tableau, grafana, or custom built applications
Experience with data management tools such as Apache Airflow or NiFi
Experience creating cloud implementations of complex data workflows
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 DATA SCIENTIST to support a client in Herndon, 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.
This work requires data science support to an extract, transform, load (ETL) pipeline. This includes reviewing and spot checking data, analyzing statistics and summarizing inbound data, and creating and explaining dashboards and summary reports to teammates and customers. This job requires the applicant to be successful working individually and with a small group
Required Qualifications:
Active TS/SCI clearance with CI poly required to start
Python (3+ years) especially with proven experience in report and dashboard generation, and manipulating data larger than memory.
SQL and relational databases (1+ year)
Experience manipulating and managing spatial data in a database (1+ year)
Desired Qualifications:
Experience reviewing data in a GUI GIS tool such as ArcGIS, ArcGIS Pro, QGIS, etc
Experience summarizing data in dashboard tools such as tableau, grafana, or custom built applications
Experience with data management tools such as Apache Airflow or NiFi
Experience creating cloud implementations of complex data workflows
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 DATA SCIENTIST to support a client in Herndon, 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.
This work requires data science support to an extract, transform, load (ETL) pipeline. This includes reviewing and spot checking data, analyzing statistics and summarizing inbound data, and creating and explaining dashboards and summary reports to teammates and customers. This job requires the applicant to be successful working individually and with a small group
group id: 91132895
