Adtech LLC will be hiring experienced and skilled Database Specialists, Data Scientists and Machine Learning experts to provide Business Intelligence Support Services to assist the U.S. Government Customs Border Patrol (CBP) officers and border enforcement personnel. The chosen candidate will look to effectively and efficiently help to provide analysis in identifying cargo, individuals, conveyances that may present additional risk to the United States. They will conduct terrorism analysis and global assessments that convey changes in terrorism threats and identify emerging threats, develop and evaluate CBP-wide intelligence-based targeting rules and intelligence driven special operations, and coordinate and enhance analysis and target efforts.
1) As a Database Specialist, the candidate for this position will provide intelligence analysis support as part of an integrated agile team that will be responsible for using, developing, maintaining, and enhance models, tools, and software for: Intelligence Analysis-Counter-terrorism-Network Analysis, Predictive Modeling, Threat Research Support, Visualization, Query Support. Ideally looking for candidates who have Business Objects reporting, OBIEE, 12c, and or Oracle experience.
2) Data Scientist -Machine Learning
Job Duties and Responsibilities
We are seeking highly-qualified data scientists to lead the development and delivery of advanced, machine learning and predictive modelling solutions. Individuals experienced with large, structured and unstructured datasets are needed to transform, analyze, and model data for more effective decision support. Many analytical approaches are needed to support current and future work, including: data mining, clustering analysis, pattern recognition and extraction, automated classification and categorization, and entity resolution. These and many other techniques will be needed to implement risk-based targeting models of national security concern.
Responsibilities: Lead projects with hands-on analysis and modeling, leveraging data analysis and analytical techniques and methods to solve complex business problems. Perform problem domain definition, including data identification and analysis. Extract, aggregate, manipulate, categorize, clean, and transform data associated within an identified problem space for use in predictive modeling. Perform exploratory data analysis and feature generation Identify patterns and/or anomalies in large datasets Perform automated text/data classification and categorization as well as entity recognition, resolution and extraction. Develop algorithms; train, evaluate, and deploy predictive analytics models using machine learning methods.
Key Qualifications: Significant experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems. Experience with unsupervised and supervised machine learning methods. Experience processing large-scale data sets (using Hadoop, HBase, Pig, etc.)
Education: Bachelor's Degree (required), Master's or Ph.D. degree (preferred) in operations research, industrial engineering, mathematics, statistics, computer science/engineering, and other related technical fields or equivalent practical experience.
Additional Desired Skills and Experience:
Must have a TS/SCI or TS with ability to obtain CBP Suitability