Data Scientist

This position requires relocation to Saudi Arabia for 12 months. We are seeking a highly capable

Data Scientist

with expertise in

machine learning and GenAI

to solve high-impact, telco-specific business problems. The ideal candidate will design and implement AI models using customer usage, location, and billing data, while ensuring that insights are actionable and integrated into operational workflows. Key Responsibilities :

Design and implement

AI / ML models

tailored to telecom use cases such as churn prediction, usage forecasting, customer segmentation, and fraud detection. Extract, engineer, and select

relevant features

from structured and unstructured data sources including

mobile usage, location, and billing data . Develop and deploy

automated pipelines

for model training, retraining, monitoring, and performance evaluation in production environments. Collaborate with

business stakeholders, CVM teams, and data engineers

to operationalize models and ensure alignment with business goals. Apply

Generative AI techniques

where appropriate to improve campaign personalization, chatbots, or other customer engagement tools. Continuously monitor and improve model performance using feedback loops and business KPIs. Document models, code, and experiments for reproducibility and governance. Required Skills :

5–6 years of experience in

machine learning ,

data science , and

production-grade model development . Hands-on experience with

Python ,

Scikit-learn ,

TensorFlow ,

PyTorch , or

similar ML frameworks . Solid understanding of

model lifecycle ,

ML Ops , and tools like

Airflow ,

MLflow , or

Kubeflow . Experience working with

large-scale telco datasets , including CDRs, billing systems, and network data. Strong in

feature engineering ,

data preprocessing , and

model evaluation

techniques. Exposure to

Generative AI (GenAI)

models and applications (e.g., GPT, BERT, diffusion models) is required. Knowledge of

SQL ,

Spark , or

Hadoop

environments is a plus. Preferred Qualifications :

Bachelor’s degree in Computer Science, Data Science, or a related discipline (Master’s preferred). Prior experience in a

telecom or digital services

environment. Strong problem-solving, communication, and stakeholder engagement skills.

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