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Orbis Operations - Reston, VA
posted about 2 months ago
Full-time - Senior
Reston, VA
Professional, Scientific, and Technical Services
About the position
Orbis is seeking a senior data scientist to lead a consulting team supporting a client in the Intelligence Community. This role involves demonstrating intellectual agility, self-starting, and thriving in a fast-paced small team environment. The data scientist will interact with key stakeholders, including senior levels, and provide input into the design of a mission-facing system, contributing to system efficiencies and mission support.
Responsibilities
- Collect and elicit requirements from stakeholders at varying levels
- Consult with clients on the development, prioritization, and implementation of new data architecture
- Implement new data ingest, databasing, and data analysis solutions for the customer
- Demonstrate creativity to develop recommendations for building and implementing a new system
- Work along a small team to perform rapid development to solve customer problems
- Provide project updates in a timely and succinct manner
- Brief analytic findings to project managers and analysts in casual and formal settings
Requirements
- A Bachelor's degree is required
- Minimum of 5 years' experience in a consulting role in the Intelligence Community
- Active TS/SCI Clearance with Poly
- Working knowledge of at least one programming language, preferably Python
- At least one year experience in developing and implementing data architecture or ETL processes
- Familiarity with diverse database types such as SQL, ElasticSearch, MongoDB, and Neo4j
- Demonstrated ability to shape technology implementation to fit mission requirements
- Ability to set up a coding development environment with minimal assistance
- Experience performing data parsing and analysis through custom scripted solutions
- Experience utilizing full text database, indexing, or federated search solutions
- Experience developing in an airgapped environment
- Experience working with computer networking data and performing computer network analysis
- Familiarity with technical targeting tools and analysis
- Experience in graph analysis and tools (e.g., NetworkX, Neo4j)
- Experience with natural language processing (NLP) and tools (e.g., SpaCy)
- Experience performing geospatial analysis on large datasets (e.g., PostGIS, GeoPandas)
