Business Title:
Data Scientist
Requisition Number:
20160920.1
Function:
Wireless Telecom Analytics and Analysis
Area of Interest:
Data Analytics
City: Open
State: Open
Term: 6 month contract, Option for Permanent Placement
Description:
Insightful LTE and 5G wireless engineering. We believe in a wireless future that is full of promise. We're dedicated to helping operators, infrastructure providers, and tower companies realize enormous efficiencies and savings, while improving wireless network coverage and quality.
This client serves many of the largest wireless operators, infrastructure providers, and tower companies in the United States. Achieving results through innovative analytical methods, attention to detail, and a deep understanding of wireless technology, systems architecture, and deployment. Our portfolio of services spans the entire wireless network infrastructure lifecycle.
Analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses
Build recommendation engines, sentiment analyzers and classifiers for unstructured and semi-structured data
Cluster large amount of network-generated content and process data in large-scale, cloud-based environments
Develop database release timelines around inter-vendor software cycles and implement during system upgrades
Drive engineering engagements focused on advanced network analytics, network categorization and optimization
Qualifications:
Five years of professional experience working as a Data Scientist
Experience in wireless telecommunications Radio Access Network (RAN), core network, or IP Multimedia Subsystem (IMS) infrastructure a plus, but not required
Experience with command-line scripting, data structures and algorithms and ability to work in a Linux environment, processing large amounts of data in a cloud environment
BS or MS from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields, with a minimum of two years of relevant experience (strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint)
Strong knowledge in at least one of the following fields: machine learning, data visualization, statistical modeling, data mining, or information retrieval
Strong data extraction and processing
Proficiency in analysis (e.g. R, SAS, Matlab) packages, programming languages (e.g. Java, Python, Ruby) as well as the ability to implement, maintain, and troubleshoot big data infrastructure, such as distributed processing paradigms, stream processing and databases
Compensation and Benefits:
Comprehensive compensation and benefits package.
PLEASE EMAIL ALL RESUMES TO Judy.Redington@AirRecruiting.com