Data Scientist - Onsite (Riyadh) - Octopus - Immediate hire

Overview

About Octopus by RTG

is the tech hiring and outsourcing arm of

Robusta Technology Group , dedicated to connecting exceptional tech talent with top-tier organizations across the

MENA, GCC, Europe, the US, and Canada . We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to

empower growth, innovation, and excellence

by matching the right talent with the right opportunities. Currently, we are hiring a

Data Scientist

for one of our

partner organizations in KSA

on a

1-year contract , offering the opportunity to contribute to exciting projects within a dynamic and forward-thinking environment. Responsibilities

Identify and prioritize

AI / ML use cases

that deliver measurable business value and ROI. Develop, validate, and deploy

machine learning models

for fraud detection, claim risk prediction, customer segmentation, and pricing optimization. Build and maintain

end-to-end data pipelines

including data preparation, feature engineering, and model deployment. Implement

advanced analytics techniques , including deep learning, NLP, and computer vision where applicable. Collaborate with

ML Engineers

to productionize models using

MLOps best practices

and CI / CD pipelines. Ensure

compliance with Saudi regulations

(PDPL, NDMO) for data usage, model development, and AI governance. Implement

model monitoring, drift detection, and automated retraining pipelines

to maintain model performance. Partner with

business stakeholders

to translate complex business problems into actionable data-driven solutions. Conduct

A / B testing and experimentation

to measure model effectiveness and optimize outcomes. Develop and deploy

explainable AI (XAI)

models ensuring transparency and regulatory compliance. Prepare

technical documentation, analytical reports, and executive dashboards

on model outcomes and insights. Lead

knowledge transfer sessions

and mentor junior data scientists and analysts to build internal capabilities. Stay current with

latest AI / ML research

and evaluate new technologies and techniques for business applications. Collaborate with the

Data Engineering team

to ensure high-quality, reliable data for ML models. Support the

development of enterprise ML platforms

and reusable AI / ML components.

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