AI & Data Science Expert

aramco digital; Dhahran Compound; On-site; SAR 150,000 - 200,000; Full time

Job summary

A leading company in the digital space is seeking a Senior AI Data Scientist to design and operationalize AI models affecting key business areas. This role requires extensive experience in data science, strong programming skills in Python, and knowledge of AI frameworks.

Qualifications

• 6+ years in data science or machine learning with model development experience.
• Proficiency in Python and AI frameworks like TensorFlow and PyTorch.

Responsibilities

• Develop machine learning and deep learning models for various use cases.
• Analyze large datasets to extract insights and prepare training datasets.
• Collaborate with teams to define AI problems and quantify impact.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

Data analysis

Statistics

Feature engineering

Model evaluation metrics

Cloud platforms

Version control

Education

Bachelor’s or Master’s degree in Data Science

Bachelor’s or Master’s degree in Machine Learning

Bachelor’s or Master’s degree in Computer Science

Bachelor’s or Master’s degree in a related field

Job description

Overview:

The Senior AI Data Scientist plays a key role in designing, developing, and operationalizing AI/ML models to solve high-impact problems across ADC’s business and network domains. This role works closely with data engineers, business analysts, and product teams to deliver models that drive decision-making, automation, and service innovation.

Responsibilities:

• Develop machine learning and deep learning models for use cases such as network optimization, customer segmentation, predictive maintenance, and demand forecasting.
• Analyze large datasets from structured and unstructured sources to extract insights and prepare training datasets.
• Work with business stakeholders to define AI problems, select modeling approaches, and quantify expected impact.
• Build, train, test, and evaluate ML models using industry-standard libraries and frameworks.
• Optimize models for scalability and deployment, ensuring performance in real-time or batch environments.
• Collaborate with MLOps and engineering teams to deploy models into production and monitor their ongoing performance.
• Stay updated on advancements in AI/ML and incorporate cutting-edge techniques where relevant.
• Document models, assumptions, and results to ensure transparency and reproducibility of AI pipelines.

Qualifications:

Education:

• Bachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science, or a related field.

Experience:

• 6+ years in data science or machine learning, with proven experience in model development and production deployment.

Skills:

• Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and data analysis tools.
• Strong understanding of statistics, feature engineering, and model evaluation metrics.
• Experience with cloud platforms (AWS, Azure, GCP) and version control systems.
• Effective communication skills and ability to translate business needs into technical models