This role required candidate to permanently relocate at Dhahran, Saudi Arabia.
About the Company
This company engages in the exploration, production, transportation, and sale of crude oil and natural gas. It operates through the following segments : Upstream, Downstream, and Corporate.
The Upstream segment includes crude oil, natural gas and natural gas liquids exploration, field development, and production.
The Downstream segment focuses on refining, logistics, power generation, and the marketing of crude oil, petroleum and petrochemical products, and related services to international and domestic customers.
The Corporate segment offers supporting services including human resources, finance, and information technology. The company was founded on May 29, and is headquartered in Dhahran, Saudi Arabia.
Job Summary
We are seeking a Data Scientist to join the Sales & Operations Planning Division's (S&OP) under the Global Optimizer Department.
S&OP's primary responsibility is to optimize crude allocation and operations across global manufacturing facilities. This optimization aims to maximize revenue, increase profitability, and capitalize on international market opportunities.
The division serves as the gatekeeper for linear programming (LP) at wholly owned refineries and oversees the integrated global MPIMS model.
This model is crucial for optimizing global crude allocation, exploring new international markets, and integrating operational options.
As a Data Scientist, your main role will involve analyzing and structuring large volumes of real-time and historical data.
You will build algorithms and solutions around this data to facilitate decision-making within the company. Your work will be pivotal in supporting the company's forecasting and predictive digital strategy, contributing to the development of advanced solutions at the Downstream Digital Center.
Key Responsibilities :
- Formulate and lead multifaceted analytic studies against large volumes of data.
- Interpret and analyze data using exploratory mathematical and statistical techniques based on the scientific method.
- Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
- Experiment against data points, provide information based on experiment results, and offer previously undiscovered solutions to complex data challenges.
- Lead all data experiments tasked by the Data Science Team.
- Coordinate with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.
- Develop methodology and processes for prioritization and scheduling of projects.
- Analyze problems and determine root causes.
- Define company data assets (data models), Spark, SparkSQL, and HiveSQL jobs to populate data models.
- Work closely with all business units and engineering teams to develop strategy for long-term data platform architecture.
Requirements :
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