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Big Data Developer

Job Description

Position: Wireless Data Scientist

Location: Orangeburg, NY

Duration: Long term

Responsibilities:
* Perform data analytics and quantitative modeling for devices and wireless networks to improve device performance, quality, user quality of experience, and quality of service.
* Perform device analytics on device performance, RF performance, device quality, device antenna performance, device readiness etc.
* Statistical modelling of wireless network and device QoS/KPI/KQI, user behaviors.
* Visualize the analytical results using data visualization tools.

Education:
* Master or PhD Degree (Preferred) or Bachelor in Electrical Engineering, Computer Science, Math, Statistics, etc.

Required Experience:
* 5+ years' experience in Wireless industry required
* 5+ years' machine learning experience in professional role
* Must have proven records of papers published in wireless analytics space in IEEE or other effective journals
* Master machine learning algorithms including: forecasting, clustering, classification, reinforcement learning, deep learning etc
* Data extraction/transformation/loading, text mining, statistical analysis experience is required
* 5+ years' experience with Python, R, Matlab, VBA, Java Scripts.
* 5+ years' experience with Spark, Hadoop, MySQL, MS Excel, VBA, TeraData SQL, MS SQL.
* Expertise of system performance fine tuning of the database schema is required
* Strong analytical capabilities, creativity and critical thinking required
* Good mobile telecommunications industry knowledge, including experience with handset manufacturers, network equipment vendors, and/or chipset vendors

Job Requirements

 

Job Snapshot

Location US-NY-Orangeburg, NY
Employment Type Contractor
Pay Type Year
Pay Rate N/A
Store Type IT & Technical
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Company Overview

AIC (part of ACS Group)

Analysts International Corporation (AIC) is an IT services firm fully dedicated to the success and satisfaction of its customers. From IT staffing to project-based solutions, AIC provides a broad range of services designed to help businesses and government agencies drive value, control costs and deliver on the promise of a more efficient and productive enterprise. Learn More

Contact Information

US-NY-Orangeburg, NY
AIC
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Snapshot
AIC (part of ACS Group)
Company:
US-NY-Orangeburg, NY
Location:
Contractor
Employment Type:
Year
Pay Type:
N/A
Pay Rate:
IT & Technical
Store Type:

Job Description

Position: Wireless Data Scientist

Location: Orangeburg, NY

Duration: Long term

Responsibilities:
* Perform data analytics and quantitative modeling for devices and wireless networks to improve device performance, quality, user quality of experience, and quality of service.
* Perform device analytics on device performance, RF performance, device quality, device antenna performance, device readiness etc.
* Statistical modelling of wireless network and device QoS/KPI/KQI, user behaviors.
* Visualize the analytical results using data visualization tools.

Education:
* Master or PhD Degree (Preferred) or Bachelor in Electrical Engineering, Computer Science, Math, Statistics, etc.

Required Experience:
* 5+ years' experience in Wireless industry required
* 5+ years' machine learning experience in professional role
* Must have proven records of papers published in wireless analytics space in IEEE or other effective journals
* Master machine learning algorithms including: forecasting, clustering, classification, reinforcement learning, deep learning etc
* Data extraction/transformation/loading, text mining, statistical analysis experience is required
* 5+ years' experience with Python, R, Matlab, VBA, Java Scripts.
* 5+ years' experience with Spark, Hadoop, MySQL, MS Excel, VBA, TeraData SQL, MS SQL.
* Expertise of system performance fine tuning of the database schema is required
* Strong analytical capabilities, creativity and critical thinking required
* Good mobile telecommunications industry knowledge, including experience with handset manufacturers, network equipment vendors, and/or chipset vendors

Job Requirements

 
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Big Data Developer Apply now