Junior Data Steward for GEOINT & Exploitation

ECS; St. Louis (MO); On-site; USD 70,000 - 100,000; Full time

Job summary

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,

Qualifications

• 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.

Responsibilities

• 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.

Skills

US Citizen

TS/SCI w/CI Poly

ArcGIS

ArcSDE

ArcPro

Data mining

Data cleansing

Data exploration

Python

R

APIs

Remote sensing

GEOINT experience

Education

Bachelor of Science in Computer Science

Bachelor of Science in Geography/GEOINT

Tools

Flowable

MapInfo

MapBasic

Tableau

PostgreSQL

PostGIS

PgAdmin

Job description

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,