TS/SCI Data Analyst: Spatiotemporal Analytics & I&W

avav; Maryland; On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Medical benefits

401K with company match

9/80 work schedule

Job summary

AeroVironment is seeking a Data Analyst to conceive, develop, mature, and transition FMI applications using large-scale data. The role blends data science, reporting, and spatiotemporal methods to support event detection and validation of I&W methodologies.

The ideal candidate holds a technical degree, 5+ years in data analysis/data science, and Python scripting, with strong communication skills and an active TS/SCI with Poly; ITAR/EAR considerations apply.

Qualifications

• Bachelor’s degree in a technical field (CS, DS, Math, Eng)
• Minimum of five (5) years of dedicated experience in Data Analysis or Data Science
• Professional experience developing and scripting in Python
• Strong verbal communication skills with a proven ability to present complex findings to diverse audiences
• Active TS/SCI with Polygraph.

Responsibilities

• Innovative Development: Conceive, develop, and transition novel FMI applications and tradecraft from large-scale data environments.
• Data Lifecycle Management: Lead data discovery, collection, curation, and enrichment to ensure high-quality inputs for complex modeling.
• Advanced Analytics: Utilize data science and modeling to improve event detection and validation of I&W frameworks.
• Spatiotemporal Analysis: Apply spatiotemporal technologies to track and analyze geographic and time-based data patterns.
• Stakeholder Communication: Translate complex technical findings into clear, actionable status reports and presentations for mission partners and leadership.

Skills

Bachelor's degree in technical field

5+ years data analysis / data science

Python scripting

Strong communication

TS/SCI with Poly

Education

Bachelor’s degree in a technical field

Tools

Splunk

Job description

AeroVironment is seeking a Data Analyst to conceive, develop, mature, and transition FMI applications using large-scale data. The role blends data science, reporting, and spatiotemporal methods to support event detection and validation of I&W methodologies.

The ideal candidate holds a technical degree, 5+ years in data analysis/data science, and Python scripting, with strong communication skills and an active TS/SCI with Poly; ITAR/EAR considerations apply.