About the role

The Data Scientist will conduct undirected research to solve complex data problems and develop innovative algorithms for machinery diagnostics and optimization. They will collaborate with field and product engineers to analyze large multivariate datasets and communicate technical findings effectively.

What they look for

Machine learning Data science Algorithm development Anomaly detection Failure prediction Optimization Multivariate data analysis Statistics Applied mathematics Computer science Physics Prognostics Diagnostics Data-driven modeling Meta-heuristic optimization

Requirements

Candidates must possess an advanced degree in a quantitative field such as computer science, physics, statistics, or applied mathematics. Strong expertise in machine learning algorithms and population-based meta-heuristic optimization methods is required.

Full description

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. • 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.

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.