Your new company
Our client is a market-leading telecommunications company, looking for a Data Scientist to join their growing data team. This role combines advanced analytics, machine learning, and data engineering responsibilities, offering the opportunity to work on large-scale data platforms and drive business insights.
Your new role
What you'll need to succeed
What you need to do now
If you're interested in this role, click 'apply now' or contact Farrah Tang at 5741 7795. You may also share your updated CV via farrah.tang@hays.com.hk.
Our client is a market-leading telecommunications company, looking for a Data Scientist to join their growing data team. This role combines advanced analytics, machine learning, and data engineering responsibilities, offering the opportunity to work on large-scale data platforms and drive business insights.
Your new role
- Design, develop, and deploy data science and machine learning solutions to solve business challenges
- Build, maintain, and optimise scalable data pipelines and ETL processes
- Analyse large and complex datasets to generate actionable insights
- Collaborate with business stakeholders, engineers, and cross-functional teams to deliver data-driven solutions
- Ensure data quality, governance, and performance across data platforms
- Support the development of data architecture and cloud-based analytics environments
What you'll need to succeed
- Bachelor's, Master's, or PhD in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or a related quantitative discipline
- Strong proficiency in Python and SQL
- Hands-on experience in both Data Science and Data Engineering
- Experience building data pipelines, data models, and ETL workflows
- Knowledge of machine learning, statistical modelling, and predictive analytics
- Experience working with cloud platforms (AWS, Azure, or GCP) is an advantage
- Strong analytical, problem-solving, and communication skills
What you need to do now
If you're interested in this role, click 'apply now' or contact Farrah Tang at 5741 7795. You may also share your updated CV via farrah.tang@hays.com.hk.
Job ID 1289928
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Hays Hong Kong Limited ("Hays Hong Kong") is the one of the leading specialist recruitment companies in Hong Kong in recruiting qualified, professiona...
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