Orbis · 1 month ago
Data Specialist, Senior
Chantilly, VA
Full-time
Onsite
Senior Level
5+ years expOrbis is seeking a motivated and detail-oriented Data Specialist, Senior to support our growing team in the collection, transformation, and analysis of open-source data. In this role, you will analyze unstructured and semi-structured data and apply algorithms on distributed, clustered, and cloud-based infrastructures.
ConsultingCyber Security
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Assist in the collection, preprocessing, and transformation of large-scale open-source datasets from various structured and unstructured sources
Applying traditional and non-traditional approaches to big data, visualized through multi-dimensional interfaces
Develop and maintain data pipelines to ensure efficient data flow and integration across different platforms
Perform exploratory data analysis (EDA) to uncover patterns and insights in open-source data that align with mission objectives
Collaborate with data engineers, software developers, and mission stakeholders to understand data requirements and deliver tailored solutions
Write clear, well-documented code to automate data processing tasks and streamline workflows
Generate reports and visualizations that communicate findings to both technical and non-technical stakeholders
Stay up to date with trends in open-source data tools, technologies, and methodologies to continuously improve data collection and pipelining processes
Qualification
Required
Active TS/SCI clearance with Poly
Bachelor's degree in Computer Science, Data Science, Statistics, or related field, or equivalent work experience
5 years of experience working in data science, with a focus on open-source data collection, cleaning, and pipelining
Strong programming skills in Python, with familiarity in libraries such as Pandas, NumPy, and requests for data manipulation and processing
Experience working with APIs and web scraping tools to collect and integrate data from open-source platforms
Understanding data cleaning, transformation, and storage best practices
Strong problem-solving skills, with an ability to manage multiple tasks and projects simultaneously
Excellent communication skills, with the ability to work effectively in a team and present findings to non-technical audiences
Preferred
Experience working with cloud platforms (e.g., AWS, Google Cloud, Azure) for data storage and processing
Familiarity with SQL or NoSQL databases for querying and managing datasets
Knowledge of data visualization tools such as Matplotlib, Seaborn, or Power BI
Experience with natural language processing (NLP) and Large Language Models (LLMs) is a plus but not required
Prior experience working in marketing or PR firms
Prior experience working on government or public sector projects
Company
Orbis
Orbis delivers forward-leaning solutions to the complex global security challenges that face our clients, our nation, and our allies.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
unknown2021-04-08Acquired
Leadership Team
Jesse Taylor
Deputy CTO, VP of Engineering
Amber Cole
Human Resources Business Partner
Recent News
2025-07-24
2025-06-06
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