Snr Data Scientist

Mediacorp Pte Ltd; Singapore; In loco; SGD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Mediacorp is seeking a data science professional to serve as the primary source of data insights, supporting internal and external constituencies, and spearheading strategic initiatives through advanced analytics.

The role involves analysing and translating findings into actionable insights, designing quantitative frameworks, and working with cross-functional teams to drive business performance while ensuring governance and data quality."

Competenze

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

Mansioni

• Design and implement quantitative analytical AI Agent and frameworks.
• Develop scalable predictive models and customer segmentation.
• Optimize advertising performance and customer engagement.
• Adopt best practices in data science, platforms and approaches.
• Establish internal data standards and benchmarks.
• Collaborate with teams to document data needs and integration.
• Ensure governance policies and closed-loop measurement.
• Synthesize insights from multiple data sources.

Conoscenze

NLP

Spark

Azure

Scala

Python

Analytical skills

Predictive modelling

AI Agent

Formazione

Bachelor or MS in relevant field

Descrizione del lavoro

About Us

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. 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 short-listed candidates will be contacted.

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.

Skills

Skills
NLPSparkAzureScalaPythonAnalytical Techniques to address Commercial ChallengesScalable Predictive ModellingQuantitative Analytical AI Agent & Framework