Senior Data Scientist

Company Description

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms.

Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives.

Hiring decisions are based on merit and fit-to-role.

If you have a disability or special need that 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 short-listed candidates will be contacted.

Designation

Senior Data Scientist

Responsibilities

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.

Scope of the role

Analyse and translate data findings into meaningful and actionable insights.

Support the development and implementation of data reporting and analytical frameworks.

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.

Foundational / Leadership Competencies

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.

Strong written and spoken communication skills.

Able to present findings to internal and external business stakeholders confidently.

Critical thinking and problem-solving skills are essential for this role.

Functional Competencies

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.

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; synthesize and interpret disparate quantitative information, and develop commercial insights for key stakeholders.

Experience

Minimum 5 years hands-on experience in data science, including developing and production of data science models.

Qualifications

PhD or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science or related field.

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