The Data Scientist conducts undirected research and tackles open‑ended data problems, leveraging an advanced quantitative degree to invent new algorithms. The role involves researching next‑generation technologies for machinery diagnostics, developing data‑driven models and optimization for complex systems, and collaborating with field and product engineers to solve industrial challenges.
Responsibilities
- Conduct undirected research and tackle open‑ended data problems and questions.
- Research and assess next‑generation technologies for machinery diagnostics and prognostics and data‑driven modeling and optimization of complex systems.
- Generate innovative ideas, establish new research directions, and shape and execute 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.
Requirements
- Advanced degree in a quantitative field such as computer science, physics, statistics or applied mathematics.
- Demonstrated advanced working knowledge and experience with machine learning algorithms.
- Experience with population‑based meta‑heuristic optimization methods.
Additional details
- EPH
- SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, national origin, age, disability, or other characteristics protected by law.
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