Downstream Data Scientist

Aramco
US - Argentina
January 23, 2025

Aramco energizes the world economy.

Aramco occupies a unique position in the global energy industry. We are the world's largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer.

With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco's value to society.

Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations' spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom's vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.

We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.

Overview

We are seeking a Downstream Data Scientist to join Sales & Operations Planning Division's (S&OP) under Global Optimizer Department.

The S&OP is responsible for optimizing crude allocation and the operations of global manufacturing facilities in order to maximize revenue, increase profitability, and capture international market opportunities. The division also acts as the linear programming (LP) gatekeeper for wholly owned refineries and the integrated global MPIMS model, which is used for optimizing global crude allocation and exploration of new international markets and integration options.

Your primary role is to analyze and structure large amounts of raw live and historical data, build algorithms and solutions around the data to drive decision making within the company. Your role will be at the core of the forecasting and predictive digital strategy of the company, to support the development of state-of-the-art solution for the Downstream Digital Center.

Key Responsibilities

As the successful candidate you will be required to perform the following:

Formulate and lead multi-faceted analytic studies against large volumes of data.
Interpret and analyze data using exploratory mathematic 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, and organize the data.
Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
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 determines 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

Minimum Requirements

As the successful candidate you will hold a Bachelor degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. An advanced degree is preferred.

You will have 5-7 years of professional experience in related field.
You will have Proficiency with one or more programming languages (Java, C++, Python, R, etc. ).
You will be able to demonstrate experience applying data science methods to real-world data problems.
You will also have experience in utilizing.

Read the full job description and apply online on the recuiter's web-site

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Overview

Key Responsibilities

Minimum Requirements

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