
The D&I Data Scientist is responsible for solving complex data problems through advanced research and machine learning techniques. This role requires expertise in statistical analysis and a strong foundation in programming.
The D&I Data Scientist will conduct undirected research and tackle open-ended data problems, leveraging an advanced degree in a quantitative field such as computer science, physics, statistics, or applied mathematics. The role involves researching next-generation technologies for machinery diagnostics, applying machine learning algorithms, and generating innovative ideas to shape technical projects. The candidate will also process large multivariate data sets and collaborate with engineers to identify key health monitoring parameters of systems.
Advanced degree in a quantitative field such as computer science, physics, statistics, or applied mathematics.
3-12 years of experience in data science or related fields.
Proficiency in Python and experience with machine learning libraries such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch.
Knowledge of statistical analysis techniques and machine learning algorithms.
Experience in the machine learning lifecycle and code design practices.
Strong communication skills for effective reporting and collaboration.
SLB has not disclosed the salary for this role.
This D&I Data Scientist position is based in Kuala Lumpur, Malaysia. This role is fully on-site.
SLB is looking for Advanced degree in a quantitative field such as computer science, physics, statistics, or applied mathematics.; 3-12 years of experience in data science or related fields.; Proficiency in Python and experience with machine learning libraries such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch..
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Company
SLB
Location
Kuala Lumpur
Salary
Undisclosed
Skills Required
7 skills
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SLB has not disclosed the salary for this role.
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