Real job — pulled straight from SLB’s careers page · Verified September 27, 2026 · No reposts.
Job description
SLB is hiring a Data Scientist, Diversity & Inclusion — a full-time, based in Kuala Lumpur, Malaysia role. Apply directly on SLB's careers page below.
D&I Data Scientist
Location: Kuala Lumpur, Malaysia
Department: Product & Service Delivery Direct
Work Location: onsite
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.
- Process large multivariate data sets collected from equipment operations, manufacturing tests and diagnostic routines.
- Apply engineering knowledge in developing data-driven algorithms for anomaly detection, failure prediction and optimization.
- Communicate ideas, plans and results effectively via oral and written reports.
- Collaborate with field and product engineers to identify key health monitoring parameters of a system.
Experience level: 3-12 years
Expertise:
- Knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, validation methods).
- Practical experience in the machine learning lifecycle, from problem formulation and data acquisition to model building and deployment at enterprise scale.
- Conceptual and mathematical understanding of algorithms, models, model assessment techniques, solution development and explainable AI.
- Knowledge and experience in code design, testing, and ML Ops practices.
- Specialization in at least one sub-domain, such as time series forecasting, Bayesian skills or NLP-GenAI.
- Proficiency in Python, including packages such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch.
- Experience with software engineering practices, agile methodologies, DevOps, and version control.
- Experience in Data and Cloud environments along with APIs and data integration
- Experience with GenAI/LLMs
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Frequently asked questions
What skills are required for Data Scientist, Diversity & Inclusion at SLB?
The required skills for Data Scientist, Diversity & Inclusion at SLB include: Python, NumPy, Pandas, Scikit-learn, Keras, TensorFlow, PyTorch, Machine Learning, Deep Learning, NLP, Generative AI, LLM, MLOps, DevOps, Agile, API.
What is the seniority level for Data Scientist, Diversity & Inclusion at SLB?
Data Scientist, Diversity & Inclusion at SLB is a Mid Level / Senior / Staff level position.
How do I apply for Data Scientist, Diversity & Inclusion at SLB?
You can view the full description and apply for Data Scientist, Diversity & Inclusion at SLB on EchoJobs: https://echojobs.io/job/slb-d-i-data-scientist-vogze.