القائمة الرئيسية

الصفحات

 Data Scientist At Schlumberger


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

 Apply Here

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