Senior Data Scientist

Be a Part of Something BIG!

• Translate business requirements into problem statements, design and implement solution with analytics and/or AI/ML/GenAI technology.
• Analyse and provide analytical insights with business intelligence tools in meeting business expectation and objective.
• Extensive experience as a data scientist and familiar with data engineering or machine learning engineering techniques. Ability to relay insights in layman's terms, such that these can be used to inform business decisions.
• Take charge of the migration the ML Cluster on bare metal to containerized HPE cluster (Unified Analytics) for scalable machine learning and Gen AI modelling environment.
• Lead and manage networks anomaly detection uses cases for Broadband and NFVI.
• Lead and serve as co-admin and ML Engineering architect, responsible for designing and architecting ML and GenAI systems for network applications working closely with our in-house Service Delivery and Operation team. This involves selecting and implementing appropriate tools and technologies such as Ray for distributing ML training, Chroma as Vector DB for LLM RAG and various GenAI/LLM/SLM models, and expanding the ClickHouse database to support ML and analytics dashboards.

Make An Impact By

• Develop and deploy analytical projects (with and without Machine Learning solutions) from the large data sets from Big Data Platform with advance analytics tools.
• Develop machine learning models for predictive and prescriptive analytics (regression analysis, time series, probabilistic models, supervised classification, unsupervised learning, etc)
• Lead and monitor the performance of Junior Data Scientists and providing them with practical guidance, solution validation and implementation.
• Develop and deploy insight visualisation dashboard, analytics reports and conduct presentation to update to senior management on the outcome of the analytics/ML projects
• Train, build, validate, test, deploy, maintain, improve and fine-tune the models and algorithms. Selecting and employing advanced statistical procedures to obtain actionable insights.
• Build, maintain and improve the data cube model derived from telco datasets.
• Continuously optimize and explore the new technology through R&D and trial/PoC.
• Drive ML CoE within Networks and explore new use case and business opportunity such as 5G Use Cases, Anomalies detection, Operational Use Cases are to be pilot delivery in progress.
• Take charge in delivering and managing the E2E of AI/ML pipeline with AutoML, MLOps or equivalent and relevant capabilities.
• Responsible to review internal or external proposal such as vendor’s solution design to ensure technology appropriateness and standards compliance related to analytic and, AI/ML solution.
• Collaborate with different stakeholders from business, technical, project management and operation to design and implement the solution. Capable in work with Waterfall or Agile project team.
• Adopt and implement the industry standards and best practise of analytics project methodologies such as CRISP-DM for data mining, or similar.

Skills for Success:

• Bachelor or Master’s degree in Computer Science, Math, Data Analytics, Data Science/Artificial Intelligence or Machine Learning with at least 2 years of hands-on development experience
• Hands on experience in analytics project and AI/ML model developments and deployment.
• Experience in handling large volume of datasets.
• Competent in machine learning principles and techniques.
• Analytical methods: statistical modeling (e.g. linear regression, time series), supervised machine learning (e.g., random forests, neural networks), design of experiments, segmentation/ clustering, text mining, NLP.
• Proficiency in Python, PySpark and analytics skillsets.
• Experience in programming, shell script and UNIX commands.
• EDA in using Jupyter or Zeppelin Notebook.

Are you ready to say hello to BIG Possibilities?

Take the leap with Singtel to unlock new opportunities and accelerate your growth. Apply now and start your empowering career!