Downstream Data Scientist (17886)

Overview

Key Responsibilities

• As the successful candidate you will be required to perform the following:
• Develop machine learning, statistical, and predictive models for downstream operational use cases.
• Assess data quality, perform data cleansing, and prepare datasets for model development.
• Explore advanced analytical techniques such as deep learning, time-series modelling, anomaly detection, and optimization algorithms.
• Validate, test, and refine models to ensure accuracy, reliability, and stability.
• Prepare technical documentation and present analytical results to stakeholders.
• Support integration of models into digital platforms and operational systems.
• Evaluate emerging data science methods and recommend approaches that improve model performance.
• Collaborate with engineers, analysts, and solution architects to translate operational challenges into data-driven solutions.

Minimum Requirements

• You will hold a Bachelor’s Degree in Computer Science, Data Science, Engineering, Mathematics, or a related field from a recognized and approved program.
• You will have 15 years of experience in data science or advanced analytics, including at least 10 years working on industrial analytics or digital solutions.
• You will have strong knowledge of machine learning, statistical modelling, and data engineering techniques.
• You must have proven experience developing and deploying models into production environments.
• You will be able to demonstrate proficiency in Python or similar programming languages.
• Experience with cloud platforms, databases, and visualization tools is preferred.
• You will have the ability to translate complex data concepts into business insights.

Work Location and Work Schedule

• Work location: Within Saudi Arabia – To be specified in Job offer
• Work schedule: Full Time - To be specified in Job offer

Job Posting Duration