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Data Analyst (Python)

130 000 - 190 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Analyst (Python): Developing and maintaining innovative FMI applications and tradecraft from large and complex datasets with an accent on data lifecycle management, modeling, and spatiotemporal analysis. Focus on detecting and validating events, enriching data, and presenting actionable findings to mission partners and leadership.

Location: 308 Sentinel Drive, Annapolis Junction, Maryland, United States

Salary: $130,000–$190,000 per year

Company

hirify.global develops unmanned aircraft systems and tactical missile systems for the U.S. Department of Defense and allied military services.

What you will do

  • Conceive, develop, mature, maintain, and transition innovative FMI applications and tradecraft from large-scale data environments.
  • Lead data discovery, collection, curation, and enrichment to provide high-quality inputs for complex modeling.
  • Apply data science and modeling techniques to support event detection and validate indications and warning methodologies.
  • Use spatiotemporal technologies to analyze geographic and time-based data patterns.
  • Translate complex technical findings into actionable reports and presentations for mission partners and leadership.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related technical field.
  • At least five years of dedicated experience in data analysis or data science.
  • Professional experience developing and scripting in Python.
  • Strong verbal communication skills and the ability to present complex findings to diverse audiences.
  • Active TS/SCI clearance with polygraph required.
  • Applicants must qualify as a U.S. person under ITAR/EAR requirements or be eligible for an export license; some positions require current U.S. citizenship.

Nice to have

  • Experience using Splunk for data indexing and analysis.

Culture & Benefits

  • Regular full-time employment with a 9/80 work schedule.
  • Medical, dental, and vision benefits.
  • 401(k) plan with company matching.
  • Paid holiday shutdown.

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