Data Scientist

Purpose of the role

The role serves as primary source of data insights, supporting internal and external constituencies, ad-hoc business intelligence and other strategic initiatives.

Key responsibilities

• 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.

Qualifications

• PhD or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science or related field.
• Understanding of analytical techniques and their application to business problems.
• Proficiency in data cleaning, transformation, and preparation techniques to ensure data accuracy and reliability.
• Understanding of data structures and data management concepts to support seamless data integration and analysis.
• Proficiency in data analysis and reporting tools such as Tableau, Power BI
• Knowledge of SQL.
• Programming knowledge in Python, Java or Scala.
• Familiar with Cloud environment e.g. Azure
• Demonstrate clear and thorough analytical thinking
• Able to multi-task and deliver against timelines
• Good interpersonal and communication skills
• Takes ownership or project that is being assigned
• Able to work as an individual or as a team player to deliver high quality of work
• Practical experience in data projects through internships, coursework, or independent projects.
• Experience with presenting and communicating data insights to stakeholders.
• Experience with NLP problems will be advantageous.
• Hands-on experience in Spark will be advantageous.