Downstream Data Scientist - Relocate To Saudi Arabia

Downstream Data Scientist - Relocate To Saudi Arabia

Full-Time 43200 - 72000 £ / year (est.) No working from home possible
Saudi Aramco

At a Glance

  • Tasks: Analyse large data sets and develop algorithms to drive decision-making.
  • Company: Join Aramco, a leading global energy producer with a commitment to societal value.
  • Benefits: Enjoy competitive remuneration, talent development programs, and world-scale project opportunities.
  • Other info: Relocation to Saudi Arabia offers a unique cultural and professional experience.
  • Why this job: Be at the forefront of innovative data solutions in a dynamic, impactful environment.
  • Qualifications: Bachelor's degree in relevant fields; 7+ years experience as a Data Scientist required.

The predicted salary is between 43200 - 72000 £ per year.

Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer. With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society. Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources.

This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply. We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.

We are seeking a Data Scientist to join the Global Optimizer Department. The Global Optimizer Development Department (GOD) charter is to optimize crude allocation and the operations of global manufacturing facilities in order to maximize revenue, increase profitability, and capture international market opportunities. Your primary role is to analyze and structure large amounts of raw live and historical data, build algorithms and solutions around the data to drive decision making within the company. Your role will be at the core of the forecasting and predictive digital strategy of the company, to support the development of state-of-the-art solution for the Downstream Digital Center.

Duties and Responsibilities

  • Formulate and lead multi-faceted 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.

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 a minimum 7 years of professional experience as a Data Scientist. 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.

Working environment

Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly. At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development. We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.

Downstream Data Scientist - Relocate To Saudi Arabia employer: Saudi Aramco

Aramco is an exceptional employer, offering a dynamic work environment in the heart of Saudi Arabia's energy sector. With a strong commitment to employee development and a culture that fosters innovation, we provide our Data Scientists with unparalleled opportunities to work on world-scale projects while contributing to significant societal benefits. Our investment in technology and talent ensures that you will be at the forefront of addressing global challenges, making your role both meaningful and rewarding.

Saudi Aramco

Contact Details:

Saudi Aramco Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Downstream Data Scientist - Relocate To Saudi Arabia

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Engage with Online BI Communities

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We think you need these skills to ace Downstream Data Scientist - Relocate To Saudi Arabia

Data Analysis
Statistical Techniques
Programming Skills (Python, R, Java, C++)
Data Cleaning and Preparation
Machine Learning Algorithms
Data Visualisation Tools
Exploratory Data Analysis

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at Saudi Aramco, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at Saudi Aramco

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with Saudi Aramco’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.