Cloud Data Mining Expert
Leading Telecom R&D Center , Sweden
We
are currently looking for a Cloud data
mining Expert (m/f), who will
play an important role in research and developing new RAS（Reliability，Availability，Serviceability）
technologies, solutions and prototype for the NFV (Network Function
Virtualization) and SDN (Software Defined Networking) networks, and the
possible next generation networks.
Your
Responsibilities will be:
- Research new RAS technologies and solutions for meeting the requirements and challenges in NFV and SDN field. Design competitive RAS architecture and RAS features for NFV/SDN systems;
- Responsible for idea initiation, prototype design and verification of RAS architecture and features for VNF/SDN systems
- Performs data studies of new and diverse data sources
- Conducts statistical modeling and experiment design.
- Discovers “abnormality” told by the data and uses in product development.
- Conducts scalable data research on and off the cloud
- Implements new or enhanced software designed to access and handle data more efficiently
- Involve in advance technologies research, industry benchmarking and customer analysis;
Our
Requirements & Qualifications:
- Master or higher degree (preferred) in Computer Science or Telecommunications, or mathematics
- More than 10 years data mining experience;
- Rich knowledge and rich hands-on experience of data analysis, modeling and prediction;
- Rich experience in IT/Telecommunication data analysis, will be preferred.
- Rich experience on Linux/C/Java and other programming language will be preferred;
- Hands-on experience on HA (High availability) / FT (Fault Tolerance) of distributed system is preferred
- Excellent communication and interpersonal skills, and work skills within a multi-cultural team;
Location
This is a fulltime contractor position
with renewable duration. The initial duration could be negotiated. This
position will be based in our clients R&D office in Kista of Sweden and Helsinki of
Finland. Need to travel overseas according
to business needs.
