Geospatial Data Scientist - Pattern-of-Life Analytics

Vantor Holdings, Inc.; Springfield (VA); On-site; USD 140,000 - 206,000; Full time

Benefits offered by this job

401(k) with company match

Student loan repayment assistance

Adoption reimbursement

Pet insurance

Job summary

Vantor Holdings, Inc. seeks a Geospatial Data Scientist to provide technical expertise on customer projects using dynamic geospatial information, including GEOINT, OSINT, SIGINT, and foundational intelligence data.

Analytics will fuse sources into key findings and geo-temporal pattern-of-life insights. In this on-site role in Springfield, VA, you will ingest and spatially process data, develop scalable analytics, and collaborate with developers, data scientists, and SMEs to produce actionable

Qualifications

• Active TS/SCI clearance with CI polygraph.
• Minimum of 10 years of experience as a data analyst/scientist or similar.
• Experience with Python, SQL.
• Knowledge of telemetry and telecom data types.
• Ability to work on-site in Springfield, VA.

Responsibilities

• Ingest and spatially process data; apply targeting analytics and correlate datasets in on-prem HPC.
• Scale pattern-of-life analytics; develop spatial analytics across multiple data types.
• Collaborate with partners to refine code and analytics.
• Create automation workflows to support CPAAC customers and partners using Mosaic, Quantum Horizon and BDSE.
• Work with internal/external customers and other analysts to deliver insights.

Skills

Data analysis

Python

SQL

Telemetry data

Pattern of Life analysis

Tools

Spark

PySpark

Spark SQL

Jupyter Notebooks

Job description

Vantor Holdings, Inc. seeks a Geospatial Data Scientist to provide technical expertise on customer projects using dynamic geospatial information, including GEOINT, OSINT, SIGINT, and foundational intelligence data.

Analytics will fuse sources into key findings and geo-temporal pattern-of-life insights. In this on-site role in Springfield, VA, you will ingest and spatially process data, develop scalable analytics, and collaborate with developers, data scientists, and SMEs to produce actionable