Involved in the analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures. Exercises creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases visualized through multi-dimensional interfaces. Handle processing and index requests against high-volume collections of data and high-velocity data streams. Has the ability to make discoveries in the world of big data. Requires strong technical and computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments. Has the ability to utilize advance tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions. Experience with software development, either an open-source enterprise software development stack (Java/Linux/Ruby/Python) or a Windows development stack (.NET, C#, C++). Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, SOAP and REST. Experience with Cloud-based data analysis tools including Hadoop and Mahout, Acumulo, Hive, Impala, Pig, and similar. Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics. Experience with open source textual processing such as Lucene, Sphinx, Nutch or Solr. Experience with entity extraction and conceptual search technologies such as LSI, LDA, etc. Experience with machine learning, algorithm analysis, and data clustering.
The applicant will be responsible for development of a robust survey system in ServiceNow, including design of branching logic and conditional questions. Responsibilities include collaboration with SMEs to develop question sets, analyze results and combining disparate data sets to determine root cause of customer dissatisfaction. Analysis will require use of statistical tools such as SAS, Excel, R Studio, etc. The ideal candidate will be highly skilled in all aspects of data analytics, including mining, generation, and visualization.
The ideal candidate qualifications include:
Minimum Education Requirements:
Peraton drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted and highly differentiated national security solutions and technologies that keep people safe and secure. Peraton serves as a valued partner to essential government agencies across the intelligence, space, cyber, defense, civilian, health, and state and local markets. Every day, our employees do the can't be done, solving the most daunting challenges facing our customers.
Range for Posting
Salary Minimum: $57,500
Salary Mid: $115,000
Salary Maximum: $143,800
The estimate displayed represents the typical salary range for this position, and is just one component of Peraton's total compensation package for employees. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Peraton provides a variety of benefits to employees.
An Equal Opportunity Employer including Disability/Veteran.