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Senior Specialist Data Science
Ooredoo Qatar
, QAT
Full Time
Senior
Machine LearningArtificial IntelligenceGenerative AIPythonRDataiku
Free
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Machine LearningArtificial IntelligenceGenerative AI
About the Role
Ooredoo Qatar seeks a Senior Data Science Specialist to strengthen its AI practice by developing AI/ML and GenAI models for customer value management, marketing, and digital sales.
Key Skills for This Role
Machine LearningArtificial IntelligenceGenerative AIPythonRDataiku
Responsibilities
- 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
- 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
Requirements
- 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) using Python and R
- Demonstrated expertise in predictive modelling for telecommunications customer analytics (e.g., churn prediction, propensity, CLV) as well as segmentation, recommendation/decisioning systems, and timeseries forecasting
- Experience implementing hyper personalization and Next Best Offer/Action frameworks in marketing and digital sales contexts
- Practical knowledge of GenAI/LLM solutions (e.g., prompt engineering, retrieval augmented generation, evaluation methodologies)
Full Job Posting
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.
About the Role
- 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.
Functional Context
- 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.
Role Accountabilities
- 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.
Minimum Entry Qualifications
- Bachelor’s Degree in Computer Science, Engineering or Similar
Minimum Experience, Essential Knowledge & Skills
- 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 Python and R.
- Demonstrated expertise in predictive modelling for telecommunications (telco) customer analytics (e.g., churn prediction, propensity, customer lifetime value (CLV)) as well as segmentation, recommendation/decisioning systems, and timeseries forecasting.
- Experience implementing hyper personalization and Next Best Offer/Action frameworks in marketing and digital sales contexts.
- Practical knowledge of GenAI/LLM solutions (e.g., prompt engineering, retrieval augmented generation, evaluation methodologies, and
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