Data Scientist Expert at stc Kuwait

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Full Time

Start Date

Immediate

Expiry Date

02 May, 26

Salary

0.0

Posted On

01 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, Analytics, Modeling, Customer Segmentation, Feature Engineering, Data Exploration, Model Training, Model Validation, Model Deployment, Collaboration, Technical Leadership, AI Solutions, Churn Prediction, Anomaly Detection, Personalization

Industry

Telecommunications

Description

stc Kuwait is actively recruiting for the role of Data Scientist Expert. In this role, you will be Responsible for leading the design, development, and operationalization of advanced machine learning and data science solutions using Python-based analytics and modeling frameworks to enhance customer value, reduce churn, and optimize revenue. It bridges business objectives and advanced analytics by transforming large-scale telecom data into actionable insights, scalable models, and AI-driven use cases that deliver measurable commercial and operational impact across the organization. Roles And Responsibilities Your responsibilities will include, but not be limited to, the following: Managerial Responsibilities Provide technical and strategic leadership for data science and AI initiatives. Oversee the end-to-end analytics and model lifecycle from ideation to value realization. Define modeling standards, best practices, and governance frameworks. Prioritize data science initiatives aligned with business objectives. Collaborate with IT and business stakeholders to ensure effective deployment and adoption of AI solutions. Core Responsibilities: Lead the end-to-end data science lifecycle from data exploration and feature engineering to model training, validation, deployment, and monitoring. Build customer micro-segmentation and personalization frameworks leveraging telecom data to enable a 360-degree customer view. Collaborate closely with Data Engineering teams to ensure high-quality, scalable, and reliable data for modeling and analytics. Translate analytical insights into actionable business recommendations and integrate model outputs into campaigns, decision engines, and operational processes. Design, develop, deploy, and maintain advanced ML/DL models for churn, upsell/cross-sell, recommendations, anomaly detection, and next-best-action use cases. People Management Responsibilities Provide technical guidance and expertise to Data Science and CLM team members. Participate in technical reviews, peer learning, and knowledge-sharing sessions. Support capability building and skill development through collaboration and mentoring. Promote a culture of quality, innovation, and continuous learning without direct people management responsibility. To apply for this role, you must meet the below minimum qualifications: Bachelor’s degree in computer science, Data Science, Statistics, Applied Mathematics, Physics, or a related field. A master’s degree or higher is preferred Minimum 8 years of relevant Experience. Fluent English and Arabic skills (written and spoken) required.

Responsibilities

The role involves leading the end-to-end data science lifecycle, including data exploration, feature engineering, model training, validation, deployment, and monitoring. Additionally, it requires building frameworks for customer micro-segmentation and translating analytical insights into actionable business recommendations.