Candidates must relocate to Saudi Arabia.
Downstream Data Scientist - Req ID: 15663
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
•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
•Bachelor degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. An advanced degree is preferred.
•5-7 years of professional experience in related field.
•Proficiency with one or more programming languages (Java, C++, Python, R, etc.).
•Able to demonstrate experience applying data science methods to real-world data problems.
•Experience in utilizing visualization tools to take advantage of the growing volume of available information.