GEOINT Data Scientist - Automation & Data Integration Lead

Bna Inc; Springfield (VA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) with company match

Paid Time Off

Sponsored training/certifications

Commuter transit benefits

Pet insurance

Job summary

B&A is seeking a Mid Exploitation Specialist (Data Scientist) to join a contract with a federal government client in support of an important mission. The role is based at NGA Washington (NCE) in Springfield, VA, and focuses on building automation and data‑integration solutions for geospatial and intelligence data.

The position is mid-level with leadership responsibilities, requiring extensive experience in data science, automation, and software development.

Qualifications

• 9+ years of relevant experience in data science, automation, software development, data engineering, GEOINT support, or related technical disciplines.
• Education: Bachelor's degree in a related field.

Responsibilities

• Develop automation solutions in Python and its data science and visualization ecosystem to collect, transform, and disseminate data.
• Connect multiple databases and enterprise systems to automate data collection, transformation, and dissemination.
• Automate repetitive business and analytic tasks using scripts and workflows.
• Gather and disseminate metrics and operational data.
• Identify process inefficiencies and implement automation solutions that improve workflow performance.
• Communicate technical concepts clearly to both technical and non-technical audiences.

Skills

Python

Data science

Data visualization

SQL / database integration

Automation

Communication

Analytical skills

Education

Bachelor's degree

Tools

Pandas

NumPy

SciPy

Plotly

Job description

B&A is seeking a Mid Exploitation Specialist (Data Scientist) to join a contract with a federal government client in support of an important mission. The role is based at NGA Washington (NCE) in Springfield, VA, and focuses on building automation and data‑integration solutions for geospatial and intelligence data.

The position is mid-level with leadership responsibilities, requiring extensive experience in data science, automation, and software development.