The US military needs to effectively utilize big data to aid in the development of analytic and operational use cases.
Requirements
- Proficient in programming languages such as Python, R, or SQL
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn, PyTorch)
- Familiarity with data visualization tools (e.g., matplotlib) and big data technologies (e.g., Pandas, Spark)
- Experience working with structured and unstructured data
- Ability to automate data processing and analysis tasks
- Experience utilizing and applying data visualization tools and techniques
- Experience with data automation
Responsibilities
- Iteratively plan and lead efforts to analyze data and determine value to derive use cases for consumption by command staff
- Analyze data and determine value to derive use cases for consumption by command staff
- Explain complex, technically difficult information in an easily understood manner to technical and non-technical audiences
- Educate and mentor on how to effectively use and interpret data, ensuring users can independently derive insights and make informed decisions
- Automate data processing and analysis tasks
- Apply data methodologies to aid in the development of analytic and operational use cases
- Derive insights and make informed decisions from data
Other
- Comfortably communicate with senior staff; collaborate closely with stakeholders to understand requirements and meet objectives
- Strong analytical and problem-solving skills, with a keen attention to detail
- Excellent written and verbal communication skills
- Strong organizational and planning skills for tracking requests and project fulfillment
- Prior military experience supporting US INDOPACOM activities
- Active DoD Top Secret-level security clearance with SCI eligibility
- Prior experience leading a large team or Branch-level office
- 8+ years relevant experience with Bachelors in related field; will consider experience in lieu of degree
- 5+ years’ experience working in a multi-skilled team environment collaborating on data automation
