ASC - Downstream Data Scientist

Our Client operates in the Oil and Energy industry, with its headquarters rooted strongly in Saudi Arabia. It has its branches spread to more than 50 countries, providing employment to more than 68,500 people all over the world. They fall under the Fortune 500 Companies. They are one of the world’s largest oil producers. They are constantly growing by creating new technologies through its Research and Development efforts and branch into new business lines through Investments and Acquisitions.

Responsibilities:

• Formulate and lead multifaceted 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 provide 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.

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 visualization tools to take advantage of the growing volume of available information