Use leading edge technologies to develop analytics pulling data from multiple cyber sources as well as classic SIGINT.
Develop prototypes answering new questions as well as providing better answers to existing questions.
Develop new ways to represent the data using data science methods and automating analytic processes using machine language frameworks.
Work directly with the customer in a highly collaborative, integrated environment.
Design, develop, test, deploy, and document big data cloud computing workflows.
Developing answers to questions via Java MapReduce, making them available via the corporate tool suites.
Research and work with AWS and other platforms for development.
Work in a cohesive, small team environment.
Minimum Qualifications
Bachelor's degree plus 5-years of relevant experience or Master's degree plus 3-years of relevant experience. An Associate's degree plus 7-years of relevant experience or high school diploma/GED plus 9-years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
TS/SCI clearance with FS polygraph.
Other Job Specific Skills
Strong Java skills, developing software in Red Hat Linux (versions 3 - 5+).
Experience with Java Pig, MapReduce.
Experience with technologies such as Hadoop, Hive, etc.
Experience with distributed scalable Big Data Store (No SQL) such as H Base, CloudBase/Accumulo, Big Tables, etc.
Experience with Hadoop Distributed File Systems (HDFS).
Experience with AWS.
Knowledge of IP Protocols and Network topologies.
Experience with GHOSTMACHINE analytic development.
Experience with Jira, Maven, and Git.
Strong problem-solving skills.
Initiative and must be self-motivated.
EEO Requirements
It is the policy of ASM that an individual's race, color, religion, sex, disability, age, gender identity, veteran status, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies.
All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, veteran status, disability, gender identity, or age. All decisions on employment are made to abide by the principle of equal employment.
