Data Scientist Test

As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

• You will be familiar with cloud-based solutions and have the ability to drill down the cloud software and hardware stack to isolate performance issues.
• Utilize sound methodology & sophisticated techniques to analyze large volumes of data and improve the performance of internal and external cloud components.
• Operate independently within a high functioning team environment.
• Work with other performance and development engineers, be able to identify issues, and develop prototype performance enhancements and detailed technical solutions.
• Construct high impact performance explanations for both technical and business audiences to communicate the importance of driving system performance improvements.
• Review and understand complex performance use cases, specifications, and requirements of each Statement of Work.

• 5 years of experience in software performance analysis or Masters/PhD degree
• Experience in programming and scripting languages: Golang, C/C++, Bash/Shell, Python
• Experience in analyzing and debugging software/hardware performance and scalability issues
• Understand performance measurement & analysis methodology including load generation, profiling, and analysis tools
• Understanding of OS concepts such as virtualization, memory management, I/O, scheduling
• Understanding of computer architecture fundamentals
• Detail working knowledge of at least one: Networking, Storage, Data Plane, Control Plane

Experience with Kubernetes, micro-services architecture, and Docker containers

Familiar with hardware accelerators such as GPUs and FPGAs.

Experience with Software Defined Networking (VXLAN, QoS, VIPs, etc...)

Familiar with statistical data analysis and visualization tools/libraries (pandas, scipy, matplotlib)

Understanding topics such as garbage collection, data structures, memory management, multi-threaded programming

Experience or Familiarity with Agile development processes.