Data Scientist Global Innovation

Profile

Job Information
Schlumberger
Data Scientist – Global Innovation
in
Houston
Texas
Data Scientist – Global Innovation
Houston - United States
Data Scientist – Global Innovation
Product & Service Delivery Direct | D&I Digital
Location
Houston, TX, USA
Mission
The Data Scientist is 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. The Data Scientist will collaborate with various teams and provide periodic updates through presentations and prototype demonstrations. This role requires the formulation of key business requirements to be solved, rationalizing the various analytical approaches to solve those problems, helping to develop, analyze and draw conclusions, and presenting the results back to business users.
Responsibilities and Duties
(bold – must have, regular – nice to have)
Deep understanding on regression methods on tabular data (tree based methods, logistic regression etc.)
Have hands on experience with deep learning method for Images (CNN, Unet, GAN,etc.)
Working understanding of deep learning methods for NLP (LSTM, Transformers, etc.)
Comfortable with creating static, animated and interactive visualization in a programing language of your choice.
Database expertise, both in understanding and experience.
Experience with data exchange formats (Jason, YAML, XML, Parquet, csv, segy, las, etc.)
Experience on building workflow on Dataiku is a plus.
Hands on experience with commonly used ML framework (TensorFlow, PyTorch, Karas, etc.)
Fluent in at least one of the data science language (Python, Julia, R, Matlab)
Programming experience (e.g. C/C , Java, JS, Fortran, etc.)
Experience with HPC programming framework (MPI/OpenMP/Spark/Hadoop or equivalent etc.)
Experience with using GPU for data science work.
User of version control for software.
Competent in linear algebra.
Understanding of Optimization (e.g. optimization algorithms, differentiable & non-differentiable objective function, etc.)
Competent in Statistics.
Experience with time series analysis.
Comfortable with managed services on the public clouds?
Experience with cloud application deployment services (e.g. Docker, Kubernetes, etc.)
Qualifications & Experience
Bachelor degree in math/applied math/science/applied science/engineering disciplines.
Master degree or higher degree in math/applied math/science/applied science/engineering disciplines.
Experience with building AI/ML application for Oil & Gas
Experience with seismic processing using Omega/Zenith or equivalent system is a plus.
Experience with well condition & interpretation using TL or equivalent system is a plus.
Experience with geoscience interpretation/integration using Petrel or equivalent system is a plus.
Behavior:
Interpersonal communication.
Oral and written communication.
Team player respected by peers.
Learn quickly in a fast-paced environment
Excellent time-management, multi-tasking, and communication skills. Capable of juggling multiple projects and related complexities at the same time.
Schlumberger 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, status as a protected veteran or other characteristics protected by law.
Schlumberger is a VEVRAA Federal Contractor- priority referral Protected Veterans requested.

Company info

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