8 дней назад
Senior Data Scientist
125 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Python/Data Analytics): Building scalable data pipelines, automation solutions, data models, and visualizations that transform complex intelligence datasets into actionable insights with an accent on production-quality analytics and mission-focused modernization. Focus on identifying patterns across large datasets, developing reusable analytic capabilities, and delivering dashboards and tools for operational decision-making.
Location: Springfield, Virginia, United States
Salary: $125,000–$150,000 USD per year
Company
delivers technical and mission expertise for national security, technology, and defense challenges.
What you will do
- Develop advanced data science and analytics solutions for Intelligence Community missions.
- Design scalable data pipelines, automation workflows, data models, and repeatable analytic processes.
- Build production-quality Python tools and reusable analytic applications.
- Create visualizations, dashboards, and data products that communicate complex findings.
- Collaborate with intelligence professionals, analysts, engineers, and mission stakeholders.
- Manage multiple technical initiatives and provide senior-level technical leadership.
Requirements
- Active TS/SCI clearance required; ability to obtain a CI Poly is preferred.
- Senior-level Python proficiency and experience developing production-quality analytic applications.
- Experience with intelligence missions, advanced analytics, large complex datasets, data modeling, and automation.
- Experience creating dashboards and visualizations for operational decision-making.
- Strong knowledge of data analysis, statistical methods, and data-driven problem solving.
- Familiarity with Intelligence Community data repositories, geospatial data science, GEOINT workflows, or multi-INT analysis.
Nice to have
- Experience with JEMA, Brewlytics, ArcGIS ModelBuilder, or additional programming languages.
- Experience with enterprise dashboards, business intelligence tools, cloud data platforms, or distributed computing.
- Experience applying machine learning or artificial intelligence to intelligence problems.
- Mentoring experience or leadership of technical modernization initiatives.
- Knowledge of DevSecOps and modern software development practices.
Culture & Benefits
- Comprehensive medical, dental, and vision coverage.
- Health Savings Account with company contribution.
- Paid time off, paid holidays, and paid parental leave.
- 401(k) with company match.
- Training and development opportunities, award programs, and company-sponsored events.
- Focus on work-life balance and professional growth.
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