Senior Data Scientist

Our client is Singapore’s national media network and largest content creator. Its purpose is to create engaging and trusted content, as well as to connect communities and inspire people. It engages over three million people in Singapore daily across four languages on its digital platforms. Beyond Singapore, it also has a growing international audience and content distributed across markets.

With a focus on nurturing talent and growing the sector, the company is committed to investing in nation-wide initiatives commissioning a wide variety of work from local content creators and collaborating with institutes of higher learning. For advertisers, they have partnered industry-leading brands in offering more effective content-driven solutions.

Responsibilities:

• Serve as the primary source of data insights supporting internal and external constituencies
• Analyse and translate data findings into meaningful, actionable insights – including synthesizing relevant insights from different customer touchpoints and data sources.
• Lead, design, and implement quantitative analytical frameworks, including scalable predictive models, customer segmentation, and advertising optimization that improve business performance and customer engagement.
• Institute and adopt best practices in data science, platforms, and approaches.
• Establish internal organizational standards and benchmarks.
• Work with other teams 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 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 of hands-on experience in data science, including developing and production rising 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 the exceptional business judgment to identify core business objectives; synthesize and interpret disparate quantitative information, and develop commercial insights for key stakeholders