Senior Data Scientist
At a glance
Senior Data Science role at StarHub. Singapore.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Build scalable analytics models using telecom and other data for commercial projects across business areas
- Choose analytical methods that can handle large datasets, then test models to check their results
- Refresh models and algorithms, including newer AI and language-model approaches, to expand analytics capabilities
- Work with stakeholders to clarify problems and shape suitable analytics solutions
- Lead technical discussions with industry or research partners on possible joint projects
What you bring
- A relevant bachelor's degree and at least four years applying big data analytics in application development
- Hands-on experience with PySpark and Kafka, plus programming ability in Python, Scala or both
- Experience presenting the business value of analytics or data science work to stakeholders
- Experience with business intelligence visualization tools such as Tableau or AWS QuickSight
Who this fits
This senior role suits someone who can develop data science solutions independently and work directly with internal and external stakeholders. You should be comfortable explaining project value and collaborating with industry or research partners.
From the employer
Job Description
The role is responsible to work with massive amounts of data to develop Machine Learning and Artificial Intelligence (Al) 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 works closely with key internal and external stakeholders to develop new Al products or new application areas for Al.
Responsibilities
- 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 LLM 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
Qualifications
- Bachelor’s degree in Engineering, Information Systems, Computer Science, Analytics or related disciplines, along with at least 4 years of relevant experience in Big Data analytics application development
- 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, Apache Flink)
- 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
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