Data Scientist

4 weeks ago


Sugar Land Texas, United States SLB Full time
Mission
The Data Scientist is responsible for conducting undirected research and tackle open-ended data problems and questions. Drawing on an advanced degree in a quantitative field such as computer science, physics, statistics or applied mathematics, the Data Scientist demonstrates the knowledge to invent new algorithms to solve data problems.
Responsibilities
  • Research and assess next-generation technologies for machinery diagnostics and prognostics and data-driven modeling and optimization of complex systems. Demonstrate advanced working knowledge and experience with machine learning algorithms and population-based meta-heuristic optimization methods.
  • Generate innovative ideas, establish new research directions, and shape and execute on technical projects.
  • Maintain state-of-the-art knowledge and contribute to technical discussions and reviews as an expert in related areas of responsibility.
  • Apply theoretical knowledge to solve industrial problems.
  • Apply engineering knowledge in developing data-driven algorithms for anomaly detection, failure prediction and optimization.
  • Collaborate with field and product engineers to identify key health monitoring parameters of a system.
  • Process large multivariate data sets collected from equipment operations, manufacturing tests and diagnostic routines.
  • Communicate ideas, plans and results effectively via oral and written reports. Experience & Exposures:
    • Data Science and Analytics
    • Algorithmic Development
    • PhD

      PhD

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