Senior Exploitation & Data Steward — TS/SCI

Culmen International, LLC; Joint Base Lewis-McChord (WA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical/Dental/Vision Insurance

401k with 4% match

Life Insurance

Disability Insurance

Supplemental Insurance

Training & Continuing Education

12 Paid Holidays

Job summary

Culmen International, LLC is seeking a Sr. Exploitation Specialist/Data Steward to support on-site at NGA in Joint Base Lewis‑McChord, Washington.

The role requires active TS/SCI clearance and involves coordinating with clients to transform complex datasets into actionable insights within program guidelines. You will serve as SME, lead automated data processes, develop data science solutions, and collaborate with stakeholders to plan features, timelines, and risks, leveraging Python, ArcGIS, and

Qualifications

• Active TS/SCI clearance required for this position.
• 10+ years of relevant experience preferred with certifications considered.
• Proficiency in Python and its data science ecosystem.
• Strong GIS knowledge and data modeling experience.
• Experience with Esri ArcGIS Suite and enterprise portals.

Responsibilities

• Coordinate with clients to understand datasets and define data-driven solutions.
• Lead development of automated data workflows and SME guidance.
• Translate roadmap features into tasks with timelines and risks.
• Apply exploratory data analysis to identify patterns and insights.
• Work with data science tools to deliver impactful assessments for decision makers.

Skills

TS/SCI Clearance

Python

ArcGIS Pro

Data Stewardship

Big data analysis

Education

Master's degree in Data Science or related field

Tools

ArcGIS Online

ArcGIS Portal

SQL

Excel

Job description

Culmen International, LLC is seeking a Sr. Exploitation Specialist/Data Steward to support on-site at NGA in Joint Base Lewis‑McChord, Washington.

The role requires active TS/SCI clearance and involves coordinating with clients to transform complex datasets into actionable insights within program guidelines. You will serve as SME, lead automated data processes, develop data science solutions, and collaborate with stakeholders to plan features, timelines, and risks, leveraging Python, ArcGIS, and