D&I Data Scientist
Malaysia, Kuala Lumpur
Operations (Engineers, Geoscience, Specialists, Operators)
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
Benefits
International Opportunities
Global adventure, broad exposure, and limitless learning await you. You'll be part of the most multi-cultural and diverse team of experts in any industry, anywhere.
Insurance
Health, vision, and dental insurance for you and your dependents available from day one.
Learning Opportunities
Global adventure, broad exposure, and limitless learning await you. You'll be part of the most multi-cultural and diverse team of experts in any industry, anywhere.
Diverse and Inclusive
Our exceptional and diverse people are the pulse and spirit of who we are. Every day, you will enrich your knowledge in an environment where differences in thought, creativity and experiences are embraced.
About Us
We are a global technology company, driving energy innovation for a balanced planet. Together, we create amazing technology that unlocks access to energy for the benefit of all.
Global in outlook, local in practice – and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally.
SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.
We will endeavor to make a reasonable accommodation / modification to the known physical or mental limitations of a qualified applicant with a disability to assist in the hiring process, unless the accommodation would impose an undue hardship on the operation of our business, in accordance with applicable federal, state, and local law. If you believe you require such assistance to complete this form or to participate in the interview process, please contact accommodationhotline@slb.com to request assistance. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.
SLB is a VEVRAA Federal Contractor- priority referral Protected Veterans requested.
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