Data Scientist

Company profile; Al Jubayl; On-site; USD 80,000 - 120,000; Full time

Job summary

A leading company in the energy sector is seeking a Data Scientist to join their Artificial Intelligence and Analytics Organization. The role focuses on deriving value from data through AI and advanced analytics, with a commitment to technological advancements. Candidates must possess a relevant advanced degree and extensive experience in data science and machine learning, particularly within the energy sector.

Benefits

Challenging and rewarding professional opportunities

Investment in employee development and training

Work on world-scale projects

Qualifications

• 8+ years of hands-on experience in data science and AI projects.
• Strong expertise in data processing, cleaning, and using various ML techniques.
• Fluency in R or Python is essential; familiarity with Golang is a plus.

Responsibilities

• Identify opportunities to leverage company data for business solutions.
• Analyze data to improve product development and business strategies.
• Develop custom data models and algorithms for datasets.

Skills

Data Science

Artificial Intelligence

Machine Learning

Computer Vision

Natural Language Processing (NLP)

Data Collection

Data Cleaning

Deep Learning

Data Analysis

Transfer Learning

Education

Master of Science or PhD in Data Science, Computer Science, or related field

Tools

Tensorflow

Keras

Pytorch

MLflow

Kubeflow

Scikit-Learn

Job description

Aramco energizes the world economy.

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 ’ 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.

Overview

We are seeking a Data Scientist to join our Artificial Intelligence and Analytics Organization (AI&A).

AI&A, within our Digital transformation office, is dedicated to realize business added value from leveraging the latest technological advancements of Artificial Intelligence (AI) and analytics. We are a center of excellence in Saudi Aramco for Artificial Intelligence technologies and data science.

Your primary role is to identify potential value from data, formulate AI and data science ideas and conceptualize them.

Key Responsibilities

As the successful candidate 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 data sources to drive optimization and improvement of product development, and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to datasets.
• Support ideation endeavors in packaging new ideas/products and preparing them for minimal viable product development.
• Assess AI applicability in enhancing current business processes.

Minimum Requirements

As the successful candidate you must hold a Master of Science or PhD degree in data science, computer science, computer vision, applied mathematics or a related field.

You must have a minimum of 8 years of hands-on experience in Data Science & AI projects (Generative AI, Computer Vision, Natural Processing (NLP), Time Series). Experience in the energy sector is a plus.

You must be able to demonstrate experience of bringing ideas from conceptualization to productionalization using the right tools (e.g. mlflow, kubeflow, tensorlight, etc).

You must also be able to showcase a very strong expertise in data collection, cleaning, and preprocessing, and wrangling.

You should be fluent in either R, or Python; both is , and familiarity with golang is a plus.

You must have strong experience using a variety of machine learning techniques, methods, and can rationally and scientifically decide when to use what.

You should have at least 5 years of experience in building computer vision-based product.

You should be able to apply transfer learning on models like, Yolo, ViT, ResNet, Unet, AlexNet, etc.

You must be able to build object detection models, face/gesture recognition, and identification engines.

You must have the ability to design, develop and deploy systems based on GenAI technology.

You must be proficient in deep learning tools keras, tensorflow and pytorch.

You must have deep knowledge and understanding of Large and Vision Model Transformer Architectures.

You must have the ability to design, develop and deploy systems based on GenAI technology.

You should be experienced in Information Retrieval (Content Recommendation, Search Metrics, Search Query, document classification, entity recognition, topic modelling, etc).

You should be proficient in transfer learning and in fine tuning open-sourced transformers models such as LAMA, Mistral, Gemma, LLAVA, QWen and .

You should have least 5 years of experience in building time series forecasting models.

You should be expert in time series forecasting models and in using technologies like LSTMs, Prophet, and time series analysis.

You should be proficient in using sklearn pandas, numpy, plotly, seaborn, and relevant R libraries if R is their .

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.