Sanayi, Teknopark İstanbul, Teknopark Bulvarı, Pendik/İstanbul, Türkiye
If you are interested in working with us, please send your CV to email@example.com
About the Company
TEA networks is a leading global provider of mission-critical in-home Wi-Fi QoS management
platform for ISP and CPE companies. We help our customers deploy next-generation Wi-Fi
connectivity and manage critical infrastructures for their broadband subscribers. Our state-of-
the-art software platform is designed for relentless reliability and delivers unquestioned
performance for operators. Our predictive Wi-Fi network management solution has been
deployed by more than 15 global telecom operators in Europe and now we are growing rapidly
in the Southeast Asia region.
If you are willing to be part of a winning team that is developing cutting edge managed Wi-Fi
solutions, then you should join us!
Company stock option plan
Private Health Insurance
Transportation and Rent Support
Flexible working hours and days
Evaluate future data analysis and reporting requirements of TEA networks solutions
Using a number of reporting and BI tools, generate customer-specific and population-
As appropriate, collaborate with the development team to automate and incorporate
Analyze data collected from TEA networks' cloud-based Wi-Fi monitoring, management,
Integrate and extend existing systems into big data frameworks in an efficient manner.
Develop, deploy and monitor machine learning models on a large scale.
Investigate and design new product features for TEA networks' cloud-based Wi-Fi
B.S. or higher degree in Computer Science, Economics, Statistics, Mathematics or
3+ years of related job experience.
Experienced in big data analytics, statistics, predictive modeling, forecasting, machine
Fluency in coding using Python or R and experience in statistical packages and ML
Experience in Apache Spark or any other distributed computing framework.
Experience in model development solutions on Cloud Platforms (AWS, Azure, etc) is a
Strong knowledge of database management systems like SQL and big data frameworks.
Good command of English