Description

Required skills (Technical & Professional) :
BS or MS in Data Analytics/ Computer Science/Math/Applied Math or equivalent.
Strong experience with AI/ML models and techniques, such as supervised machine learning, decision trees and logistic regression will help solve a range of data science problems, 
hands-on working knowledge of 3rd party, open source tools, such as supervised machine learning, decision trees and logistic regression will help solve a range of data science problems.
Foundation in statistics and math.
Programming skills, knowledge of Python, and (highly desired) C and/or GoLang.
Experience with ingestion of big data in near real time, and data processing/parsing/normalization.

Specialized skills:
Experience working with mobile devices using APIs, OS, embedded software.
Experience working with web servers, HTML/Java, web applications.

Desired skills:
Experience with publish/subscribe models (such as Kafka) of data sharing/exchange.
Experience working with data packets, understanding of TCP/IP and networking.
Knowledge of video, audio, streaming technologies.
Agile process experience.
knowledge of 3GPP, LTE and 5G.

Education

BS or MS in Data Analytics/ Computer Science