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Data Scientist

Location
Basking Ridge, NJ

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Data Scientist
(#1,068,261,155)
Job offer
#1,068,261,155
in
Basking Ridge
(New Jersey)
USA
What you’ll be doing... Perform data analysis, data mining, machine learning and quantitative modeling for devices and wireless networks, with a focus on device performance, quality, user quality of experience, and quality of service. Conduct analytics on device, network, and application performance, RF (Radio Frequency) performance, device quality, device antenna performance and device readiness. Develop high efficient data ETL (Extract, Load, and Transform) to support the daily requirement from the projects. Statistical modelling of wireless network and device QoS (Quality of Service) / KPI (Key Performance Indicators) / KQI (Key Quality Indicators), user behaviors. Develop data visualization tool to present data analytics results using html5, tableau, and java scripts.What we’re looking for... Masters or foreign equivalent degree in Financial Engineering, Math, Computer Science, Electrical Engineering or related field and 1 year of experience with each of the following: database operation, data analysis, data visualization, web crawler development, QoS analysis, sentiment analysis, and machine learning.Must Reference: Job #SL1-WWhen you join Verizon... You’ll be doing work that matters alongside other talented people, transforming the way people, businesses and things connect with each other. Beyond powering America’s fastest and most reliable network, we’re leading the way in broadband, cloud and security solutions, Internet of Things and innovating in areas such as, video entertainment. Of course, we will offer you great pay and benefits, but we’re about more than that. Verizon is a place where you can craft your own path to greatness. Whether you think in code, words, pictures or numbers, find your future at Verizon.Equal Employment Opportunity Were proud to be an equal opportunity employer- and celebrate our employees differences,including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. Different makes us better.

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