Saudi Aramco
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Financial Data Analytics Scientist

Job Description and Requirements

As a successful candidate you will hold a postgraduate or Ph.D. degree in a scientific field such as computer science, analytics, mathematics, or statistics.

Twelve years of professional work experience; including 1 to 2 years as a data scientist in the field of finance.

Ability to apply statistical and machine learning methods to specific business problems and datasets.

Expert in designing different types of statistical models.

Proficiency using Python or R.

Proficiency using PowerBI or the equivalent.

Ability to effectively communicate ideas and results with actionable conclusions backed by data.

Experience in designing and executing scientific studies, and best practices.

Experience in designing clear and accurate data visualizations.

Proficiency using SQL and NoSQL.

Duties & Responsibilities:
You will be required to perform the following: 

Model complex recurring problems, discovering insights and identify opportunities using statistical, algorithmic, data mining and data visualization techniques.

Analyze user needs, define database and application systems requirements, perform system application analysis and design, and train programmers and end-users in data mining/data and modeling/data visualization techniques.

Create and oversee the application of a diverse set of models, tools, risks, and decision science techniques to develop and enhance output quality and current operating model capabilities to make strategic recommendations.

Make strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.

Evaluating, test, and optimize various D&A projects with respect of developing detailed write-ups.