> Markdown version of [/jobs/ext/4634624-d-i-data-scientist](https://www.wearedevelopers.com/jobs/ext/4634624-d-i-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# D&I Data Scientist

- **Company:** Slb NV
- **Location:** Houston, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Neural Networks, Data Integration, DevOps, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Software Engineering, Explainable AI (XAI), Cloud Platform System, Pytorch, Large Language Models, Deep Learning, Keras, Pandas, Scikit Learn, Information Technology, Data Analytics, Machine Learning Operations, Software Version Control
- **Published:** November 8, 2026
- **Apply:** https://www.careerbuilder.com/job-details/d-i-data-scientist-houston-tx--f6cdf7ae-275a-400d-b0a6-383c7a540009

## About the Role

Data Science, Data Science, Earth Sciences, Statistics, Computer Science, Mathematics, Algorithms, Physics, Problem Solving Skills, Data Modeling, * 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

## Description

* 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.