Company: Saudi Aramco (ASC)
Skills: IT - Analysis & Management
Experience: 5 + Years
Education: Bachelors/3-5 yr Degree
Location: Saudi Arabia


Req Number: 19027BR

Position Description:
We are seeking a data scientist to join the Community Services Technical Support Department of Community Services.

Community Services is responsible for operating and maintaining Saudi Aramco residential communities and office facilities in the Eastern Province and the Central/Western Region, providing essential life support services for Saudi Aramco communities, buildings and Home Ownership areas, provide maintenance to all nonindustrial facilities in the Eastern Province and the Central/Western Region, providing operation and maintenance of company fire protection systems in the Eastern Province and the Central/Western Region, and the highest quality level of service.

The Data Scientist's primary role is to support our facility management organization with insights gained from analyzing company data and to support data-driven initiatives. The ideal candidate is adept at using large data sets to find opportunities for process optimization, and using models to test the effectiveness of different courses of action.

Minimum Requirements:
As the successful candidate you will hold a Bachelor's degree in Statistics, Mathematics, Computer Science or another quantitative field from a recognized and approved program. An advanced degree is preferred.

You will have five to seven years of experience in manipulating data sets and building statistical models.

You will have strong problem-solving skills with an emphasis on product development.

You will have experience using statistical computer languages (i.e., R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.

You will have experience working with and creating data architectures.

You will have knowledge of a variety of machine learning techniques (i.e., clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

You will have knowledge of advanced statistical techniques and concepts (i.e., regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

You will have excellent written and verbal communication skills for coordinating across teams. Able to explain the "so what" of data findings in a clear manner.

You will be driven to learn and master new technologies and techniques.

You will be able to demonstrate experience with appropriate software/tools, including:

Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.

Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.

Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.

Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

Experience analyzing data from third party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.

Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

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

Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

Mine and analyze data from company databases to drive optimization and improve product development, marketing techniques and business strategies.

Assess the effectiveness and accuracy of new data sources and data gathering techniques. Drive establishment of high-integrity data sources and processes.

Develop custom data models and algorithms to apply to data sets.

Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

Develop testing framework and test model quality.

Coordinate with different functional teams to implement models and monitor outcomes.

Develop processes and tools to monitor and analyze model performance and data accuracy.

Support digital transformation efforts and link data sources to useful dashboards, monitoring systems, and KPI tracking.

About us:
Saudi Aramco's Industrial Relations (IR) Business line is dedicated to building, maintaining and enhancing the relationships the Company develops with people and institutions inside the Kingdom and around the world. It is through the IR business line that the Company cares for the health, wellbeing and security of its employees and their families, maintains the high quality of life found in Company communities, operates the school system for the children of expatriate employees, and communicates with various audiences through a variety of media, including print publications, events, films and websites. Saudi Aramco operates one of the largest and most successful industrial and professional training programs on the planet to ensure that its employees are provided with the training they need to meet emerging challenges. The Company's wide-ranging corporate citizenship activities, which focus on the areas of environmental protection, knowledge, community and the economy, are also the responsibility of the IR business line.

Every day, our multinational team of more than 70,000 people combines passion, purpose, and performance to achieve a common objective: unlocking the full potential of the Kingdom’s resources to create more value for our company and more opportunities for people at home and around the globe.

 

 

Join us at Saudi Aramco.

 

 

 

Saudi Aramco is ranked in the Global Top 10 in Rigzone's 2019 Ideal Employer Rankings - find out more here.