Senior Data Scientist - Global Energy Optimization & AI

Saudi Aramco; As Sudiyah; On-site; OMR 51,000 - 92,000; Full time

Job summary

A leading global energy company is seeking a Data Scientist to join the Global Optimizer Department. This role involves developing data models and solutions for optimizing decision-making processes. Candidates should have at least 10 years of experience, including machine learning expertise and strong programming skills in Python and SQL. The position requires excellent communication and problem-solving abilities for collaboration in a complex environment. The work location will be specified in the job offer and the work schedule is full-time.

Qualifications

• Minimum 10 years' experience in data analytics, machine learning, or quantitative modeling.
• 5 years' experience in enterprise-level AI applications.
• Strong programming skills in Python and SQL.

Responsibilities

• Develop and implement advanced data models for optimization decision-making.
• Automate data pipelines for high-quality inputs.
• Build predictive analytics tools to improve optimization throughput.
• Collaborate with teams to translate business requirements into digital solutions.

Skills

Machine Learning

Data Analysis

Python

SQL

Statistical Analysis

Communication Skills

Problem-Solving Skills

Education

Bachelor’s degree in Computer Science, Data Science, Applied Mathematics

Advanced degree preferred

Tools

Pandas

Scikit-learn

TensorFlow

PyTorch

Apache Airflow

Spark

Kafka

GCP

AWS

Azure

Job description

A leading global energy company is seeking a Data Scientist to join the Global Optimizer Department. This role involves developing data models and solutions for optimizing decision-making processes. Candidates should have at least 10 years of experience, including machine learning expertise and strong programming skills in Python and SQL. The position requires excellent communication and problem-solving abilities for collaboration in a complex environment. The work location will be specified in the job offer and the work schedule is full-time.