Junior Data Steward for GEOINT & Exploitation

ECS; St. Louis (MO); Vor Ort; USD 70.000 - 100.000; Vollzeit

Zusammenfassung

Everforth ECS is seeking an Exploitation Specialist/Data Steward (Junior Level) to work in our St. Louis, MO location. This offer is contingent upon Prime and government customer acceptance, validation of appropriate clearances, and approval from a cognizant government contracting officer.

After customer indoctrination, the candidate will be submitted for a Counterintelligence Polygraph. The Data Steward focuses on SFP data quality, investigates quality and integrity issues using statistics,

Qualifikationen

• US Citizen and TS/SCI w/CI Poly security clearance required.
• Working knowledge of ArcGIS suite (ArcGIS, ArcSDE, ArcPro).
• Experience in data mining, cleansing and exploring spatial, temporal, and non-spatial data.
• Familiarity with data science libraries and APIs.
• Remote sensing expertise: EO, SAR, MASINT, IR, LiDAR.
• 2+ years GEOINT intelligence experience.

Aufgaben

• Investigate data quality and integrity issues using applied statistics and algorithms.
• Communicate complex results to non-technical audiences.
• Support data stewardship for SFP data and ensure quality across datasets.

Kenntnisse

US Citizen

TS/SCI w/CI Poly

ArcGIS

ArcSDE

ArcPro

Data mining

Data cleansing

Data exploration

Python

R

APIs

Remote sensing

GEOINT experience

Ausbildung

Bachelor of Science in Computer Science

Bachelor of Science in Geography/GEOINT

Tools

Flowable

MapInfo

MapBasic

Tableau

PostgreSQL

PostGIS

PgAdmin

Jobbeschreibung

Everforth ECS is seeking an Exploitation Specialist/Data Steward (Junior Level) to work in our St. Louis, MO location. This offer is contingent upon Prime and government customer acceptance, validation of appropriate clearances, and approval from a cognizant government contracting officer.

After customer indoctrination, the candidate will be submitted for a Counterintelligence Polygraph. The Data Steward focuses on SFP data quality, investigates quality and integrity issues using statistics,