2 часа назад
Geospatial Data Scientist (GEOINT)
140 000 - 187 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Geospatial Data Scientist (GEOINT): Ingesting and spatially processing dynamic geospatial, intelligence, and telecommunications data in an on-premises HPC environment with an accent on pattern-of-life analysis, multi-source correlation, and scalable analytics. Focus on developing automated workflows, applying targeting analytics, and building scalable methodologies for points-of-interest discovery and customer intelligence products.
Location: On-site in Springfield, Virginia, United States. U.S. citizenship is required, along with an active U.S. Government TS/SCI clearance and willingness to obtain a CI polygraph.
Salary: $140,000–$187,000–$205,700 annually for the Washington, DC metropolitan area.
Company
develops spatial intelligence solutions that help decision-makers and operators understand current events and anticipate future developments.
What you will do
- Ingest and spatially process internal and external geospatial and intelligence data sources.
- Develop scalable analytics for pattern-of-life and activity-based intelligence analysis.
- Build correlations across multiple data types in a big data science environment and on-premises HPC infrastructure.
- Collaborate with software developers, data analysts, data scientists, subject matter experts, customers, and mission partners.
- Develop and refine analytics, methodologies, and workflows for exporting points and places of interest.
- Automate workflows supporting Mosaic, Quantum Horizon, BDSE, and CPAAC customers and partners.
Requirements
- Must be a U.S. citizen and work on-site in Springfield, Virginia.
- Current and active TS/SCI clearance required; willingness to obtain a CI polygraph is required.
- At least 10 years of experience as a data analyst, data scientist, or in a similar role.
- Experience with a scripting or data language such as Python or SQL.
- In-depth knowledge of technical data types and telecommunications protocols, including cellular, Wi-Fi, and Ethernet data.
- Experience performing data analysis to help partners inform and scale analytics.
Nice to have
- Experience with activity-based intelligence or pattern-of-life analysis.
- Experience creating innovative analytical workflows, methodologies, and scalable solutions.
- Experience with Spark, PySpark, Spark SQL, or Jupyter Notebooks.
- Experience briefing senior leaders or working in customer-facing roles.
- Experience supporting intelligence analysts or special operations customers.
Culture & Benefits
- Work supporting mission partners and customer intelligence requirements.
- Competitive total rewards package with a company-matched 401(k).
- Mental health resources.
- Student loan repayment assistance, adoption reimbursement, and pet insurance.
- Inclusive workplace and equal employment opportunity commitment.
Hiring process
- The application window is three days from the posting date and remains open until a qualified candidate is hired.
- Clearance status will be verified as part of the hiring process.
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