Data Scientist for Oil & Gas Industry

Mission Consultancy Services; Kuala Lumpur; On-site; MYR 80,000 - 120,000; Full time

Job summary

A leading consultancy is hiring a Data Scientist experienced in the Oil & Gas industry to develop ML model solutions. You will be responsible for data integration, model development, and data analysis to identify opportunities. The role requires strong skills in Python and data integrity, along with a relevant degree.

Qualifications

• Minimum 5 years of experience in Data Science or Statistical Modeling.
• Experience or knowledge of Geoscience is preferred.
• Knowledge of Geoscience is an advantage.

Responsibilities

• Develop machine learning models using Python.
• Gather and review data to create comprehensive datasets.
• Analyze large datasets to identify trends and patterns.

Skills

Machine Learning

Python

Data Integrity

Data Analysis

Education

Degree in Computer Science, Physics, or Statistics

Job description

About the job Data Scientist for Oil & Gas Industry

Our client is seeking an experienced data scientist with a background in the Oil & Gas industry to develop machine learning (ML) model-driven solutions for missed opportunity portfolio ranking. This includes formulating future exploitation plans, with a focus on ML approaches for HC pay identification at wells and seismic scale HC pay identification.

Job Responsibilities:

1. Develop machine learning models using Python.
2. Gather and review data from relevant sources to create comprehensive datasets for training ML models.
3. Configure data integration from various sources such as well logs, seismic attributes, and production data to understand subsurface geology. Merge data, check compatibility, and resolve discrepancies for data preparation.
4. Perform data quality checks, cleaning, and ensure data integrity to maintain model accuracy.
5. Analyze large datasets to identify trends and patterns through exploratory data analysis.
6. Train ML models by selecting appropriate algorithms, defining input features, and target variables for missed opportunity portfolio ranking.
7. Validate models by evaluating performance, effectiveness, and accuracy. Quantify uncertainty to aid decision-making.
8. Conduct user acceptance testing to verify integration, assess performance, and incorporate user feedback.
9. Configure APIs for integrating ML models with user interfaces.
10. Prepare administrative documentation.
11. Implement and configure solutions for go-live.
12. Support stabilization post-deployment to fix issues and bugs.
13. Lead, guide, mentor, and train project team members, including data scientists.

Qualifications:

• Minimum 5 years of experience in Data Science or Statistical Modeling.
• Experience or knowledge of Geoscience is preferred.
• Degree in Computer Science, Physics, or Statistics.
• Geoscience knowledge is an advantage.

Note: The job is onsite at the office.