Parsons is seeking highly motivated, self-starting individuals to develop big data analytic capabilities for U.S. Army Research Laboratory and its customers, such as the acquisition and test & evaluation communities. Data sets are high dimensional, high volume, and highly heterogeneous. The individual will work with Army scientists and engineers to understand the data domain and current practices, while at the same time thinking outside the box and using their mathematical/statistical modeling expertise to develop next generation analytic workflows. The individual will work with team members and incorporate their models, and insights derived from those models, to develop user-facing visual analytic prototypes.
We work with emerging computational platforms and architectures, advanced algorithms, new programming models, immersive visualization tools, virtual/augmented reality, machine/deep learning, and related areas. Our facilities include high performance computers, emerging processors, development platforms, neuromorphic processors and accelerators, and a 2-D/3-D and immersive visualization lab.
Bachelor's Degree in Computer Science, Engineering, Math or Statistics with 5+ years of related professional experience.
Experience configuring and working with Hadoop in a Kerberos environment
Experience with Python and Bash
Ability to develop and exercise data sciences and statistical modeling approaches for distributed processing and analysis of large data sets
Experience with Linux
Strong math skills; experience with numerical linear algebra, machine learning, data structures, high performance computing
Proof of U.S. citizenship or permanent residency is required due to government federal requirement
Applicants selected for employment may be subject to a federal background investigation and may need to meet additional eligibility requirements for access to classified information or materials
ABILITY TO OBTAIN AND MAINTAIN A SECRET CLEARANCE
Experience with Scala, Java or R
Experience with Knox and Nifi
Experience using data warehouse and analytics infrastructure using YARN, Spark, Hive and HBase
Experience with Phoenix, management of Hive and Spark UDF's and management of PySpark and Scala dependencies preferred
Must be eligible to obtain and maintain, or currently possess Prescreen Required clearance.
Ready for action? Were looking for the kind of people who see this opportunity and dont hesitate to act. Parsons is a leader in the world of Technical Services and Engineering. We hire people with a broad set of technical skills who have proven experience tackling some of the greatest challenges. Take your next step and apply today.
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