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 Lead Data Scientist will manage 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 contractor 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.
The candidate for this position is responsible for defining a Big Data implementation framework; translating mission needs into Big Data system, analytic, and visualization tools requirements; and working with multi-disciplinary teams to design, guide engineering solutions, and explore, examine, and visualize data to extract knowledge and insights from large and complex collections of digital data; responsible for managing digital data that comes from many different data providers; consists of a variety of structured, semi-structured, and unstructured data types; and has an enormous volume, varying velocity (periodic static documents to real-time data feeds), and is rapidly growing. Additionally, the Big Data and Innovation Support Lead is responsible for the design, development, test, deployment, and use of associated advanced analytic and data science tools including, but not limited to, data visualization, link analysis, correlation, sophisticated analytics programs, machine learning, and statistical methods to prepare data for use in predictive and prescriptive modeling.