SAIC is looking for team members to support the Defense Intelligence Agency (DIA) Transforming All-Source Analysis with Location-Based Object Services (TALOS) to advance the state of the art in Big Data, data analysis, Artificial Intelligence (AI), Machine Learning (ML), and advanced analytics to enhance the DoD’s and the Intelligence Community’s (IC) information processes and technical architectures. DoD and the IC, warfighters, policymakers, and acquisition leaders must address strategic challenges that focus on leading-edge IT to deliver insight, advantages, and dominance in all warfighting domains including land, maritime, air, space, and cyber.
The candidate will support the lifecycle of data within DIA from the time it is acquired to the time it is removed from DIA’s systems. This includes data transformation and extraction activities, appropriate exploitation and storage of data, implementation and maintenance of data access controls, reporting, and the removal of data IAW DIA’s policies and compliance requirements. The candidate shall support the Government in data ingestion, management, and other areas of data processing and follow specific guidance provided by the Government related to compliance with authorities and oversight policy for data access loading, minimization, retention, and use.
Works in cross-functional teams with data at all stages of the analysis lifecycle to derive actionable insight. Translates mission needs into an end-to-end analytical approach to achieve results. Performs the pre-analytics areas of data collection and understanding, data cleansing and integration, and data storage and retrieval. Determines the appropriate analytics based on the data and the desired outcomes, using techniques including feature detection, statistics, data mining, predictive modeling, machine learning, natural language processing, and business intelligence. Interprets the validity of results and communicates the meaning of those results. Has familiarity with data wrangling, analytics, and visualization software and programming languages, including analytics methods for big data. Follows a scientific approach to generate value from data, verifying results at each step.