Data Specialist, Senior

Orbis Ops • Chantilly, VA

2d

About The Position

Orbis 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 the application of algorithms on distributed, clustered, and cloud-based infrastructures.

Requirements

• Active TS/SCI clearance with Poly
• Bachelors 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

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level