Time since we first saw it
Day 43
Similar jobs usually come down between day 7 and day 56.
At SLB, jobs usually come down by about day 24.
From 10,198 similar postings that came down, and 38 of SLB’s. Coming down is not always a hire.
D&I Data Scientist
Kuala Lumpur, Federal Territory of Kuala Lumpur, MY
Live, first seen by us 43 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingResearch and assess technologies for machinery diagnostics and prognostics
Develop data-driven algorithms for anomaly detection, failure prediction and optimization
Process large multivariate data sets from equipment operations and tests
Collaborate with field and product engineers to identify key health monitoring parameters
Communicate results through oral and written reports
From the employer’s posting
Research and assess next-generation technologies for machinery diagnostics and prognostics
Apply engineering knowledge in developing data-driven algorithms for anomaly detection, failure prediction and optimization.
Process large multivariate data sets collected from equipment operations, manufacturing tests and diagnostic routines.
Collaborate with field and product engineers to identify key health monitoring parameters of a system.
Communicate ideas, plans and results effectively via oral and written reports.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 23, 202643 days ago
- Recorded sightings
- 169
- Last seen by us
- Nov 5, 2026
- Employer says posted
- Sep 21, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
SLB is hiring
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Keras
- NumPy
- pandas
- PyTorch
- scikit-learn
- TensorFlow
Where the posting names them
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
Your next step
Complete your application on apply.slb.com. The employer’s form will show what is required.
Applying through Eightfold
- You sign in, with Microsoft, LinkedIn, Google, Facebook or a new account, before the application opens.
Already applied? Track this application
Has SLB posted this job before?
Yes. We’ve followed one other D&I Data Scientist job there since April 2026. It is still up.
About SLB
- People
- About 109,000 in 2025, down 1% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as SLB.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job 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.
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.
* 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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Kuala Lumpur, Federal Territory of Kuala Lumpur, MY
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.