Senior Data Scientist

Mediacorp Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Mediacorp Pte Ltd is seeking a data insights lead to serve as the primary source of actionable intelligence across internal and external stakeholders. You will design quantitative analytic frameworks and predictive models to inform business decisions and growth strategies.

Responsibilities include translating data findings into clear insights, adopting best data science practices, and ensuring governance and measurement across touchpoints.

Qualifications

• 6+ years hands-on data science experience including productionising models.
• NLP experience is advantageous.
• Experience with Spark is advantageous.
• Proficiency in at least one programming language (Python/Scala).
• Familiar with distributed databases and query languages.
• Knowledge of cloud environments, preferably Azure.

Responsibilities

• Design and implement quantitative analytical AI Agent and frameworks, including scalable predictive models, customer segmentation and advertising optimisation that improve business performance and customer engagement.
• Adopt best practices in data science, platforms and approaches.
• Establish internal organization 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.
• Analyse and translate data findings into meaningful, actionable insights including synthesising relevant insights from different customer touch points and data sources.

Skills

Analytical thinking

Multi-tasking

Communication skills

Ownership

Team player

Education

Bachelors or MS in Statistics/Mathematics/ML/OR/CS

Tools

Python

Scala

Spark

SQL

Azure

Job description

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. As well as design and implement quantitative analytical frameworks.

Key Responsibilities

• Design and implement quantitative analytical AI Agent and frameworks, including scalable predictive models, customer segmentation and advertising optimisation that improve business performance and customer engagement.
• Adopt best practices in data science, platforms and approaches.
• Establish internal organization standards and benchmarks.
• Work with other teams in the organization 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.
• Analyse and translate data findings into meaningful, actionable insights including synthesising relevant insights from different customer touch points and data sources.

Foundational 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

Functional Competencies

• Demonstrate expertise in developing and implementing a full range of analytical techniques to address commercial challenges. Proficiency in at least one statistical analysis tool.
• Demonstrate experience with distributed databases and query languages. Proficiency in at least one programming language (preferably Python/scala).
• Familiar with Cloud environment (Azure)

Experience

• Minimum 6 years hands-on experience in data science, including developing and productionising data science models
• Hands-on experience in Spark will be advantageous
• Experience with NLP problems will be advantageous

Qualifications

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