Data Scientist (17086)

Overview

Key Responsibilities

• As the successful candidate you will be required to perform the following:
• Develop and implement advanced data models and machine learning algorithms to support optimization decision-making within the iGO platform.
• Design and automate data pipelines that integrate, cleanse, and enrich large datasets from multiple sources to ensure high-quality inputs for optimization models.
• Build and maintain predictive and prescriptive analytics tools that enhance scenario modeling, forecasting, and back casting capabilities to improve optimization throughput.
• Assess the effectiveness of existing data-driven models and continuously refine them based on feedback loops and performance metrics.
• Perform statistical analysis and sensitivity analysis to identify key optimization levers and prioritize high-impact opportunities across refining and petrochemical assets.
• Collaborate with cross-functional teams to translate complex business requirements into scalable digital solutions that support agile and responsive optimization.
• Ensure that all digital solutions align with enterprise data standards, cybersecurity protocols, and overall IT architecture.
• Document technical specifications and maintain version-controlled repositories to support continuous development and model governance.

Minimum Requirements

• You will hold a Bachelor’s degree in Computer Science, Data Science, Applied Mathematics, or a related field from a recognized and approved program. An advanced degree is preferred.
• You will have at least 10 years’ experience in data analytics, machine learning, or quantitative modeling, including at least 5 years in developing enterprise-level AI and machine learning applications.
• You must have strong programming skills in Python, SQL, and experience with data science libraries and frameworks such as Pandas, Scikit-learn, TensorFlow, or PyTorch.
• You will have the ability to design and manage data pipelines using modern data engineering tools such as Apache Airflow, Spark, or Kafka.
• You will be able to demonstrate a proven track record in deploying analytics solutions in an industrial or energy sector environment.
• You will have strong analytical and problem-solving skills, with the ability to work with cross-functional teams in a dynamic and complex environment.
• You will have excellent communication and interpersonal skills to effectively present findings and technical concepts to both technical and non-technical stakeholders.
• You will also have a solid understanding of cloud platforms such as GCP, Cloudera, Databricks, Palantir Foundry, AWS or Azure, with experience in deploying and managing models in production environments.
• Knowledge of optimization techniques, linear programming, or operations research is preferred.

Work Location and Work Schedule

• Work Location: Within Saudi Arabia – To be specified in Job offer
• Work Schedule: Full Time - To be specified in Job offer

Job Post Duration