We are currently seeking candidates to provide data analysis support. This position will be located either in Reston, VA or Washington, DC.
Deliver data environment that enables the integration of data sources such that advanced analytic algorithms can be applied and yield analytic results supporting visualizations to inform senior level decision makers and line level analyst.
Perform security integration, auditing and monitoring in accordance with DIA standard and processes to include accurate reporting procedures for internal use software expenditures
Technical subject matter expertise in software coding and unit level testing, including but not limited to Java, python, Ruby, R.
Draw on existing DIA (DoDIIS) and IC ITE Data Service Architecture (DSA) architecture, security and application requirements/processes, take advantage of lessons learned from previous projects, leverage existing, available DIA data repositories and services, the DIA Software Development Environment, DevOps processes, EPS data and platform capabilities, DoDIIS available infrastructure (including but not limited to: C2S AWS,
GovCloud, VMware, physical systems) and leverage existing DIA and future IC ITE environment, tools and services.
The contractor shall perform data analysis against DIA's data holdings implementing industry best-practices such as data mining, predictive analytics, text analytics, or other techniques as appropriate.
Provide support for the "data retrograde" tool that provides a solution to sort out relevant documents from a larger data set and operate, maintain, and update a machine learning data model, rules engine, and workflow within the web application that allows a user to curate documents against a binary decision.
Provide SMEs experience in Cloud Technologies, AWS/C2S, containers, data layers, micro-services, System Administration, and SQL/NSQL database experience.
Must have an active/current TS/SCI and CI Poly.
A bachelor's degree or equivalent training.
Seven years or more years of specialized experience working on complex data/database projects as a data analyst, data architect, data scientist or database engineer.
Produces and reports timely and accurate analyses at the appropriate level of detail to enable business decisions.
Support the client with comprehending the context of its program data by extracting qualitative and quantitative relationships, including patterns and trends from large amounts of data and providing analytic support to help inform policy, rational decision making, and resource allocation.
Provide support for IT Strategic implementation, coordination of project management and communications support efforts across a matrixed organization.