Downstream Data Scientist

This is a full-time expatriate, residential position based in Saudi Arabia

Overview

We are seeking a Downstream Data Scientist to join the Global Optimizer Department.

The Global Optimizer Development Department (GOD) charter is to optimize crude allocation and the operations of global manufacturing facilities in order to maximize revenue, increase profitability, and capture international market opportunities.

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, supporting the development of state-of-the-art solutions for the Downstream Digital Center.

Duties & 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, massage, and organize the data.
• Experiment against data points, provide information based on experiment results, and offer previously undiscovered solutions to command 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.

Minimum Requirements

• Bachelor's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. An advanced degree is preferred.
• Minimum 7 years of professional experience as a Data Scientist.
• 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.