Serve as primary source of data insights supporting internal and external constituencies
Analyse and translate data findings into meaningful, actionable insights – including synthesising relevant insights from different customer touch points and data sources
Lead, design and implement quantitative analytical frameworks, including scalable predictive models, customer segmentation and advertising optimisation that improve business performance and customer engagement
Institute and adopt best practices in data science, platforms and approaches.
Establish internal organisational standards and benchmarks
Work with other teams in Mediacorp to understand business needs, document data and data integration requirements, and resolve conflicting business/data architecture rules. Ensure compliance with internal customer contact governance policies and drive closed-loop measurement through smart data capture.
Become an internal authority on Mediacorp’s data tools and resources
Support ad-hoc business intelligence and other strategic initiatives
Requirements
PhD or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science or related field.
Minimum 5 years hands-on experience in data science, including developing and productionising data science models
Demonstrated expertise in developing and implementing a full range of analytical techniques to address commercial challenges. Proficiency in at least one statistical analysis tool.
Demonstrated experience with distributed databases and query languages. Proficiency in at least one programming language (preferably Java, C++, Python).
Must possess exceptional business judgment to identify core business objectives; synthesise and interpret disparate quantitative information, and develop commercial insights for key stakeholders
Mediacorp is committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary. Thank you for your interest and application to this role. Please note that only shortlisted candidates will be contacted.