Data Scientist

About us

We are a global technology company, driving energy innovation for a balanced
planet.
Together, we create amazing technology that unlocks access to energy for the
benefit of all.
Our inclusive culture is the key to our success. We collaborate with our
internal community of colleagues, alumni, and our valued external partners to
support each other and achieve our goals. We aim to raise the bar high. We
look for people who are committed to innovation and success and act with
integrity to become and be a part of one of the most diverse group of experts
in our industry, anywhere around the globe.
Global in outlook, local in practice - and with a united, shared passion for
discovering solutions, we hire talented, driven people and support them to
succeed, personally and professionally.

Job summary
SLB has an opening in Abu Dhabi for a Data Scientist role in the Digital
Subsurface Solutions Data Science team, who will be responsible for guiding
the successful delivery of Analytic Solutions to internal customers. The Data
Scientist will be responsible for designing and executing undirected research
and tackling open-ended data problems related to AI, ML, predictive /
analytical modeling, data mining, and research on large scale, complex data
sets, using statistical, machine learning, graph modeling, text mining and
other modern techniques. This individual is also responsible for collaborating
with various teams and providing periodic updates through presentations and
prototype demonstrations. The role will require working on multiple projects
simultaneously. This position will also be involved in the formulation of key
business requirements to be solved, rationalizing the various analytical
approaches to solve those problems. Finally, this position is involved in
helping to develop, analyze and draw conclusions, and presenting the results
back to business users. Depending on the candidate 's qualification, this
position can be either a Data Scientist or a Senior Data Scientist.

Resposibilities
* Research and assess next-generation technologies for data-driven solutions in subsurface resources exploration and production
* Generate innovative ideas, establish new research directions, and shape and execute on technical projects
* Apply theoretical knowledge to solve industrial problems
* Apply engineering knowledge in developing data-driven algorithms and prototypes for classification, regression, anomaly detection, failure prediction, and optimization
* Work with business and engineering teams to implement robust and scalable industrial software solutions
* Maintain state-of-the-art knowledge and contributes to technical discussions and reviews as an expert in related areas of responsibility
* Communicate 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 and Experience:
Essential qualifications:
* Years of experience required: ‎5+ years of relevant experience
* Bachelor's or Master's degree in computer science, mathematics, physics, applied science, engineering or similar disciplines with demonstrated research capability.
* 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

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

SLB is an equal employment opportunity employer. Qualified applicants are
considered without regard to race, color, religion, sex, sexual orientation,
gender identity, national origin, age, disability, or other characteristics
protected by law.