Data Scientist

Key Responsibilities

• Collaborate with cross-functional teams, translating complex technical concepts into clear and actionable insights for both technical and non-technical stakeholders.
• Analyze and design data architecture for program data, ensuring alignment with organizational goals and in compliance with data & labeling standards.
• Develop, implement, and sustain robust data pipelines that handle multiple data formats and interfaces for operational efficiency, directly supporting database engineering.
• Develop, monitor, and optimize data processing workflows to facilitate efficient and high-speed data operations across multiple security domains and systems.
• Leverage and integrate APIs to query systems and perform data ETL and migrations.
• Utilize programming languages such as Python, JavaScript, or Java to build and support operational data pipelines.

Requirements & Tech Stack

• Experience with Database analysis, data modeling, and architecture experience.
• Experience working with SQL or NoSQL databases.
• Experience with cloud architectures, cloud databases, as a developer and administrator.
• Experience in leveraging APIs for data querying and migration.
• Experience in one or more of the following: Python, JavaScript, or Java.
• Experience developing and maintaining operational data pipelines.

Preferred Skills & Qualifications

• Experience working with geospatial data enterprise solutions, and multiple data formats.
• Experience with implementing processes, standards, and tools based on the Scaled Agile Framework for Enterprise (SAFe).
• Ability to create dynamic visualizations for monitoring data pipeline performance, including availability, currency, and volumetrics.

Security Requirements

• TS/SCI level clearance or higher required.