Data Scientist At Schlumberger
Responsibilities:
Researches and assesses next-generation technologies for data-driven solutions in subsurface resources exploration and production
Generates innovative ideas, establishes new research directions, and shapes and executes on technical projects
Applies theoretical knowledge to solve industrial problems
Applies engineering knowledge in developing data-driven algorithms and prototypes for classification, regression, anomaly detection, failure prediction, and optimization
Works with business and engineering teams to implement robust and scalable industrial software solutions
Maintains state-of-the-art knowledge and contributes to technical discussions and reviews as an expert in related areas of responsibility
Communicates ideas, plans, and results effectively via oral and written reports - Works effectively with peers, management, operations groups, and outside organizations
Participate in technical forums and other appropriate events and conferences
Qualifications:
Essential qualifications:
Bachelor’s or Master’s degree in computer science, mathematics, physics, applied science, engineering or similar disciplines with demonstrated research capability with 5+ years of relevant experience.
Demonstrated experience in developing core machine learning algorithms in professional research and development settings
Strong background in some of these listed areas: machine learning, time series analysis / sensor processing, deep learning, optimization/operations research, text analytics/NLP, computer vision
Demonstrated experience in building and applying machine learning / predictive modelling in real-world use cases
Excellent communication, verbal and written skills
Must be able to legally work in Egypt. Egyptian candidates preferred or current Egyptian residents may apply.
Preferred qualifications:
Excellent knowledge of developing deep learning models using tools such as TensorFlow, Keras, Pytorch, etc.
Understanding and past experience of Oil and Gas domain is a plus
Experience working with, processing and managing large data sets (multi TB scale) is preferred
Track records of past publications in relevant topics
Immediate availability is an advantage
Ability in designing distributed and parallelized algorithms
Other skills and abilities:
Strong ability to work in a fast-paced environment
Strong ability to work both autonomously and in a team
Strong ability to communicate complex quantitative analysis in a clear, precise, and actionable manner to both technical and non-technical audiences
Excellent time-management, multi-tasking, and communication skills. Capable of juggling multiple projects and related complexities at the same time
Good interpersonal and communication skills
Have a good understanding of latest technology trends for developing back end for Cloud applications