Data Scientist

Responsibilities

• Create the necessary infrastructure to store and process data related to emergent sensors and platforms.
• Establish relevant data health alerts and set up data pipelines to support Extract, Transform, and Load (ETL) of all data related to the emergent sensors.
• Leverage scripting tools, programming languages, standards, and software packages to build data pipelines that enable the consumption of data supporting mission needs.
• Support data analytics, data cleansing, analyst workflow efficiencies, and transformation supporting Extract, Transform, and Load (ETL) capabilities.
• Manage the generation, approval, and population of data into databases, ensuring compliance with security regulations and customer requirements.
• Conduct regular Quality Control (QC) and monitor the content to ensure alignment with existing data standards and requirement specifications.
• Audit and report the current state of compliance of data holdings in both written and oral forms; monitor data and standards changes and adjust data architecture to remain in compliance.
• Maintain data availability, accuracy, consistency, and reliability for all training data operations.
• Create and maintain Government directed and approved software and computing environments to enable data preprocessing work, such as creating NPEs to enable connections to external systems, setting up software environments to enable development activities, and establishing appropriate Gitlab repositories.
• Support data pipeline setup and maintenance for data preprocessing activities across all security domains.

Requirements

• 18+ years of relevant experience; BA can account for 4 years while a MA/MS can account for 6 years of experience.
• 4+ years of experience working with SQL or NoSQL databases and cloud architectures.
• Experience leveraging APIs to query systems and migrate data.
• Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences.
• Experience with programming languages such as Python, JavaScript, or Java.
• Experience developing, sustaining, and monitoring operational data pipelines supporting multiple data formats and interfaces.

Qualifications

• Experience working with NGA IT enterprise solutions (e.g., NGA CORE, NGA MLOps), Government Authority to Operate (ATO) processes, and Government Non-Person Entity (NPE) certificates.
• Experience implementing processes, standards, and tools within an organization based on the Scaled Agile Framework for Enterprise.
• Experience developing dynamic visualizations to monitor availability, currency, and volumetrics of operational data pipelines.

Skills

• Experience with scripting tools, programming languages, standards, and software packages to build data pipelines.
• Experience with data analytics, data cleansing, and transformation.
• Experience with data pipeline setup and maintenance.
• Experience with data preprocessing and data preprocessing work.

Benefits

N/A

Pay

N/A

Schedule

N/A