Data Scientist

Updated: 1 day ago
Saudi Arabia
Data Scientist
Non-Academic
The Data Scientist will work in collaboration with other visualization team members to build cutting-edge interactive data analytics pipelines and visualization workflows for domain scientists and industry partners, and architect solutions for effective exploration of large scientific datasets on a variety of platforms. The incumbent will be equally comfortable in software development, statistics, machine learning, big data, and visualization. Knowledge of information visualization techniques, visual analytics dashboard design, infographic interactive displays and information delivery best practices will be an added advantage.
 
As a desired competency, the incumbent will also design, implement and maintain streaming data analytics pipelines from simulations running in supercomputing facilities at KAUST, including Shaheen (KAUST’s Cray XC40 system) and other HPC clusters on campus. This activity will require close collaboration with several domain scientists within KAUST, and computational scientists from the KAUST Supercomputing Core Lab to support the implementation of analytics solutions in their systems.
 
As part of the Core Labs, the incumbent will also provide training and support for students and researchers regarding the software and hardware facilities in the lab, participating in and organizing training seminars and workshops, as well providing student mentoring and support in collaboration with KAUST faculty, as appropriate
Provide data science support and expertise to research endeavors across campus.
  • Working collaboratively with other laboratory staff and external vendors in the design and implementation of new systems, and upgrades to existing systems.
  • Maintain accurate documentation and training guidelines for the utilization of laboratory software and hardware tools.
  • Software tools and program development for analytics applications running on KVL and KSL facilities.
  • Propose, evaluate and deploy new software and hardware technology solutions for data science at scale and analytics.
  • Stay up-to-date on scientific developments in machine learning, statistical analysis, and 
Research
Core Labs
  • Demonstrated experience in data science application design and implementation, using packages such as theano, caffe, tensorflow etc.
  • Strong programming background in one or more of the following languages: Python, R, Julia, Matlab, C/C++.
  • Working knowledge of one or more of the following – MongoDB, CartoDB, ArcGIS, PostGIS.
  • Familiarity with RHEL (Red Hat Enterprise Linux), MAC OS, Windows, and mobile operating systems.
  • Experience with accelerated hardware which includes: NVidia Quadro and Tesla systems.
  • Data mining tools such as Apache Spark, RStudio etc.
  • Understanding of interactive graphics, color theory and visual perception concepts
  • Excellent English oral and written communication skills.
  • Highly competent technical documentation skills
  • Proven ability to work with minimal supervision in a multi-disciplinary environment
PhD Degree in Computer Science or a related area required
3-5 years experience in data science, visualization, and large scale distributed computing
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