Data Scientist

Leidos•Alexandria, VA
•$92,300 - $166,850•Onsite

About The Position

Leidos is actively hiring for multiple Data Scientists to support their team in Alexandria, VA. The Data Scientist will 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.

Requirements

  • 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 and sustaining operational data pipelines supporting multiple data formats and interfaces.
  • Bachelor’s Degree in related field. Additional years of experience can be considered in lieu of degree

Nice To Haves

  • 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

Responsibilities

  • 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.
  • Develop workflows to enable API-based movement of data related to the sensors between data platforms as directed by the government.
  • Ensure all sensor data adheres to Government directed data schemas, formats, and governance requirements.
  • 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.
  • 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.
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