D&I Data Scientist: ML for Industrial Diagnostics

Schlumberger Business Support HUB Sdn Bhd; Kuala Lumpur; Presencial; MYR 120.000 - 180.000; Jornada completa

Descripción de la vacante

The Data Scientist role at Schlumberger Business Support HUB Sdn Bhd focuses on tackling open-ended data problems using advanced quantitative methods. You will research new techniques, implement data-driven models, and contribute to enterprise-scale deployments.

Applicants should hold an advanced degree in a quantitative field and have hands-on experience with Python, ML/DL frameworks, ML Ops, and GenAI/LLMs. You will collaborate with engineering teams to apply analytics to industrial challenges.

Formación

• 3–12 years of experience in data science or related field.
• Advanced degree in a quantitative discipline.
• Strong knowledge of statistical methods and ML algorithms.
• Proficiency in Python and ML/DL tooling.
• Experience with ML lifecycle, deployment, and MLOps.

Responsabilidades

• Research and assess next-generation technologies for machinery diagnostics and data-driven modeling.
• Demonstrate advanced machine learning knowledge and population-based optimization methods.
• Generate innovative ideas; establish new research directions and execute on technical projects.
• Maintain state-of-the-art knowledge and contribute to technical discussions and reviews.
• Apply theoretical knowledge to solve industrial problems.
• Process large multivariate data sets from equipment operations and tests.
• Develop data-driven algorithms for anomaly detection and prediction.
• Communicate results via reports and presentations.
• Collaborate with field and product engineers to identify health monitoring parameters.

Conocimientos

Python

Machine learning

Deep learning

Time series

Bayesian

NLP-GenAI

APIs

ML Ops

Version control

Cloud

Educación

Advanced degree in quantitative field

Herramientas

NumPy

pandas

scikit-learn

Keras

TensorFlow

PyTorch

Descripción del empleo

The Data Scientist role at Schlumberger Business Support HUB Sdn Bhd focuses on tackling open-ended data problems using advanced quantitative methods. You will research new techniques, implement data-driven models, and contribute to enterprise-scale deployments.

Applicants should hold an advanced degree in a quantitative field and have hands-on experience with Python, ML/DL frameworks, ML Ops, and GenAI/LLMs. You will collaborate with engineering teams to apply analytics to industrial challenges.