Senior Data Scientist at StarHub Ltd

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

16 Jul, 26

Salary

0.0

Posted On

17 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, GenAI, Agentic AI, Big Data Analytics, PySpark, Kafka, Python, Scala, Cloud Platforms, Tableau, AWS QuickSight, Data Modeling, Software Agile Development, CI/CD, Spark Streaming

Industry

Telecommunications

Description

Job Description The senior data scientist is responsible to work with massive amounts of data to develop ML/GenAI models with Telco and other sets of data to help enterprises realise key business value through the use of Telco Insights. The senior data scientist will work closely with key internal and external stakeholders to develop new Al products or new application areas for Al.Roles and Responsibilities Architect scalable Agentic AI systems using multi-agent architectures that can autonomously plan, decide, and execute tasks, integrating with enterprise data, APIs, and business workflows to support internal and external Design and develop next generation of scalable Telco Big Data Analytics Models to support commercial projects across various business verticals. Propose and design effective analytical approaches taking into consideration performance and scalability to large datasets, adhering to best practices for model development, and perform unit and system testing to validate the results of the analytics models. Constantly review and ensure that current methodology conforms and meets industry standards. Propose and develop new analytics models and innovative techniques and algorithms to enhance SmartHub capabilities and value proposition of Telco Big Data. Independently develop solutions that adopt and leverage on latest AI/ML models including GenAI and agentic solutions to deliver exceptional value to internal/external stakeholders. Participate and contribute to stakeholders' requirement gatherings sessions, co-creation workshops to size up stakeholders' problem statements and formulate and review best approaches to analytic solutions and models. Lead the technical collaboration with industry or research institutes to propose new potential areas for collaboration. Qualifications Bachelor’s degree in Engineering, Information Systems, Computer Science, Analytics or related disciplines, along with at least 5 years of relevant experience in Big Data analytics application development OR Master’s degree or PhD in computer science or related disciplines Experience with GenAI/Agentic AI solutions development and deployment Experience with Business Intelligence Visualization (e.g. Tableau, AWS QuickSight) Experience in presentation to stakeholders to articulate business values for analytical/data science projects Experience in the following Big Data technologies: PySpark, Kafka Programming experience in one or preferably more of the following languages: Python, Scala Experience with Cloud platforms (e.g. AWS, Google Cloud, Azure, Alibaba Cloud, Huawei Cloud) Exposure to real-time streaming technologies (e.g. Spark Streaming) Good understanding of software agile development, continues integration and deployment Attention to details, a self-starter and self-learner continuously keeping up to date with industry developments Creative problem solver and ability to think out of the box Experience in Telco industry will be an advantage

Responsibilities

The senior data scientist will architect scalable Agentic AI systems and develop next-generation Big Data analytics models to support commercial projects. They will collaborate with stakeholders to formulate analytical solutions and lead technical partnerships with industry or research institutes.