Saudi Aramco Careers
Data Science Analyst
Requisition ID: 1129749
Req Number: 15690BR
We are seeking a Data Science Analyst to join Oil Supply Planning & Scheduling Department (OSPAS) within Marketing & Supply Planning Admin Area of Saudi Aramco.
OSPAS is trusted to establish optimized supply plans for all the company’s products, coordinate the operations to implement the plans safely and cost effectively during both normal and abnormal conditions. Within Saudi Aramco, OSPAS is the department most involved with upstream, downstream, support services and all national and international customers. OSPAS play an integral part in the company decision- making process with the highest level of ethics. The Operations Coordination Center in OSPAS receives tremendous amounts of live data from all the hydrocarbon systems to help managing and optimizing the operations and ensure meeting the requirements of our internal and external customers.
Your 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. You will be involved in all phases of analytics projects including: question formulation, design, research and development, implementation, testing, etc. You must have a proven ability to drive business results with their data-based insights. You must be comfortable working with a wide range of stakeholders and functional teams. You 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; Industrial Engineering, Applied Mathematics, Statistics, or Computer Science from a recognized and approved program. An advanced degree is preferred.
You should have 5 years or more of hands-on experience in data science including at least 3 years in statistical methods, such as machine learning (ML), information retrieval, data mining, text Mining, predictive analytics, and geo-spatial analytics.
You will also have;
Experience in predictive analytics and machine learning using R, Python.
Experience in applying ML to real-world problems.
Deep exposure in statistics and statistical analytics and concepts.
Knowledge on SQL and database querying language.
Data visualization experience is a requirement.
Data mining, data cleanup, and data massaging experience is a requirement.
Ability to analyze data sets (structured/unstructured) and build sophisticated mathematical/statistical models.
Knowledge in math like linear Algebra, calculus and probability is a requirement.
Ability to demonstrate project work with evidence of creative and critical thinking.
Analytical, problem solving and organizational skills.
Excellent English language communication skills (verbal, presentation and written), including the ability to collaborate and influence effectively across all levels of a matrix organization is also necessary.
Ability to show Knowledge of big data tools like Hadoop, Hive and Pig, and cloud tools such as Amazon.
Duties & Responsibilities:
You will be required to perform the following:
Work with Saudi Aramco business users to gather and refine specific business scenarios and document analytical solution requirements.
Develop and plan required analytic projects in response to business needs and maintain documentation of technical requirements including use cases.
Define the data requirements for specific business scenario and identify sources of data in consultation with business clients and technical team.
Identify and resolve data/information gaps for meeting business objectives/goals including data quality issues and sources (data feeds, the master data, etc.), and identify training and validation datasets as appropriate.
Build analytical models to execute specific business scenarios using all available tool sets.
Conduct research and make recommendations on data mining products, services, protocols, and standards in support of procurement and development efforts.
Provide and apply quality assurance best practices for data mining/analysis services.
Evaluate and prototype innovative solutions using the latest technology trends.
Use scientific /analytical approaches to explore and visualize available data, identify gaps, and build/validate required analytic models.
Determine required network components to ensure data access, as well as data consistency and integrity.
Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements.
Manage and/or provide guidance to junior members of the team.
Acquire good scripting and programming skills.
Ability for processing, cleansing, and verifying the integrity of data used for analysis.
Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis.
Communicate predictions and findings to management and IT departments through effective data visualizations and reports.
Recommend cost-effective changes to existing procedures and strategies.
Saudi Arabia’s vast hydrocarbon resources will see Saudi Aramco become the world’s leading integrated energy and chemical company by 2020. Our Chemicals business is a critical, high-profile new enterprise for us and requires committed people with insight, experience and technical expertise.
We can offer professionals from diverse backgrounds and specialties a solid, secure future – not to mention extensive international exposure and the opportunity to see your ideas become reality. Work at the forefront of the industry and see how your career evolves with invested time and effort. It’s a chance to make a huge impact both on the local economy and on a global scale.