Data Scientist

The Data Scientist shall support the maintenance and implementation of the data architecture for all Program data. This position requires experience with databases, cloud architecture, and compliance with data standards. This position is responsible for maintaining data backend workflows that allow for the movement of data across security domains and across systems.\n \n \nPrimary Responsibilities\n \u2022 Assist in the creation of the necessary data pipelines to store and process data related to emergent sensors and platforms. This includes creation of any database tables and schemas, establishing relevant data health alerts, and the setup of data pipelines to support Extract, Transform, and Load (ETL) of all data related to the emergent sensors.\n \u2022 Develop workflows to enable API-based movement of data related to the sensors between data platforms as directed by the government.\n \u2022 Ensure all sensor data adheres to Government directed data schemas, formats, and governance requirements\n \u2022 Assess potential differences in metadata, data format, and data structure characteristics in regards to changes to databases, schemas, APIs, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline\n \u2022 Determine how to pre-process and standardize the data to match existing data standards or to be transformed into a usable state for labeling and model testing purposes. This may involve converting between file format types or tiling full-size images into specified sizes or geospatial bounds (chipping), orthorectification, or other types of data standardization, transformation, or manipulation.\n \n

u2022 4+ years of experience working with SQL or NoSQL databases and cloud architectures\n \u2022 Experience leveraging APIs to query systems and migrate data\n \u2022 Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences.\n \u2022 Experience with programming languages such as Python, JavaScript, or Java\n \u2022 Experience developing and sustaining operational data pipelines supporting multiple data formats and interfaces.\n \u2022 Bachelor’s Degree in related field. Additional years of experience can be considered in lieu of degree\n \n, u2022 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.\n \u2022 Experience implementing processes, standards, and tools within an organization based on the Scaled Agile Framework for Enterprise.\n \u2022 Experience developing dynamic visualizations to monitor availability, currency and volumetrics of operational data pipelines Required Tasks:\n