Downstream Data Scientist
3 weeks ago
Middle East, Saudi Arabia
- (Market related, Negotiable)
The Sales & Operations Planning Division’s (S&OP) is looking for a Downstream Data Scientist to join their team in Saudi Arabia.
The Sales & Operations Planning Division’s (S&OP) charter is to optimize crude allocation and the operations of global manufacturing facilities 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.
Data scientist 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. This 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. In this role, the data scientist should be highly analytical, with strong skills in analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. The position requires in-depth knowledge of research, machine - learning, artificial intelligence, and complex algorithmic development.
The data scientists will work as part of the Technical Support team of the Downstream Digital Center under Fuels. They will be working on developing solutions and algorithms for the whole downstream business. The solutions will have cross downstream entities scope and will be relying on a database consolidating all downstream entities live and historical data. The solutions developed will have a high impact, as they will drive collaboration and decision making, for day-to-day operations as well as long-term business development. The Downstream Digital Center Technical Support team will be interacting with all the downstream entities to collect their solution request. The Technical Support team will also be interacting and leveraging the other SAO IT and technical entities for support in developing the solutions.
**Responsibilities**:
- Formulates and leads guided, multifaceted analytic studies against large volumes of data.
- Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.
- Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
- Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
- Leads all data experiments tasked by the Data Science Team.
- Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.
- Develops methodology and processes for prioritization and scheduling of projects.
- Analyzes problems and determines root causes.
- Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.
- Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.
**Education and Experience Requirements**:
- Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
- 5-7 years of professional experience
- Proficient with one or more programming languages (Java, C++, Python, R, etc.)
For more information please contact:
- Amu Ndimande
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