Senior Specialist Data Science

About Us:

Ooredoo is a dynamic global Telecommunications player operating in 10 countries serving more than 138 million customers. Ooredoo Qatar employs approximately 1,600 people driving Ooredoo to be the number one choice for world-class communications services in Qatar, and it is a team that you can be part of!

This role is responsible for strengthening the AI practice by working closely with the relevant stakeholders (B2B/C, Technology, Finance etc.) on impactful AI/ML and GenAI use cases to contribute to business strategy, digital growth and an evolving data & AI roadmap. The role will focus on translating customer and commercial needs into scalable ML/Gen AI/Data Science models and decisioning capabilities across business domains including customer value management (CVM), marketing, digital sales and customer care.

Ooredoo places strong emphasis on a data-driven culture. In an ever-changing business landscape, there is increasing organizational focus on using AI/ML in day-to-day practice to create value, efficiency, and diversification.

The AI Hub division is responsible for putting in place and executing the data & AI roadmap, business plan, and strategy. Ooredoo is building cloud platform-based solutions involving GCP that hosts the data platform and supports analytics and ML workloads, while Azure hosts GenAI and agentic AI workloads.

• Understand business requirements for Telecom business (B2C/B2B) and develop AI/ML based data science models to do value addition.
• Own end-to-end AI/ML model lifecycle: problem framing, data discovery, feature engineering, training, validation, deployment, monitoring, and continuous improvement (self-learning where applicable).
• Deliver Customer Value Management (CVM) use cases such as churn prediction and prevention, customer lifetime value (CLV), propensity models for upsell/cross-sell, and Next Best Offer / Next Best Action frameworks.
• Enable hyper-personalization and real-time decisioning by designing decision logic, recommendation models and event-driven scoring to support always-on campaigns and contextual offers.
• Support AI-enabled marketing and digital sales optimization, including audience segmentation, campaign optimization, attribution/uplift measurement, personalized messaging, and digital funnel conversion analytics.
• Develop call-center efficiency use cases including call volume forecasting, workforce optimization inputs, routing/prioritization analytics, and AI-assisted service journeys.
• Design and implement conversational AI and GenAI solutions (e.g., virtual assistants, agent-assist, summarization, knowledge retrieval) to improve customer experience and operational efficiency while adhering to governance controls.
• Command on PL/SQL with feature extraction, pre-processing of data, training, scoring, and actionable insight extraction in leading database platforms e.g., Teradata, Oracle etc.
• Build insights through statistical measures/algorithms/graphs/info graphics and communicate results in a business friendly format for stakeholders and leadership.
• Evaluate models and establish robust tracking mechanisms for adoption and realized business outcomes; proactively follow up on lead utilization with use case owners.
• Ensure Responsible AI practices: model governance, documentation, privacy-by-design, bias/robustness testing, explainability where required, and secure handling of customer data.
• Manage and continuously improve the Data Science Operational Framework, including standards for reusable code, model registries, versioning, and release management in collaboration with Technology teams.
• Work as part of a shared function across organization on use cases to support product growth, cost optimization, customer engagement and customer experience improvements.

Bachelor’s Degree in Computer Science, Engineering or Similar

• 10 years' experience in a similar role.
• Prior experience in data science and AI/ML-based advanced analytics, including hands-on development on leading data science platforms (Dataiku as the primary platform) using…