Position: Data Science Analyst (Loss Prevention Specialist, GC15)
Locations: Saudi Arabia
We are seeking a Data Science Analyst to join Oil Supply Planning & Scheduling Department (OSPAS) within Marketing & Supply Planning Admin Area of Saudi Aramco.
The Data Science candidate primary role is to act as a Data Science Architect and will be required to develop and investigate hypotheses, structure experiments and build and maintain mathematical models for predictive and text analytics.
The candidate will be involved in all phases of analytics projects including: question formulation, design, research and development, implementation, testing, etc.
The candidate must have a proven ability to drive business results with their data-based insights.
He must be comfortable working with a wide range of stakeholders and functional teams.
The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
As the successful candidate, you will hold a Bachelor s degree in one of the following disciplines; Safety Engineering, Industrial Engineering, Applied Mathematics, Statistics, or Computer Science from a recognized and approved program. An advanced degree is preferred. You will have 10- 12 years of experience with at least five plus years of hands-on experience in data science including at least three plus years in statistical methods, such as machine learning (ML), information retrieval, data mining, text Mining, predictive analytics, and geo-spatial analytics.