Data Scientist

Mediacorp Pte. Ltd.; Singapore; On-site; USD 60,000 - 100,000; Full time

Job summary

Join a leading media network as a Data Scientist, where your analytical expertise will drive business insights and enhance customer engagement. In this role, you will design and implement predictive models, ensuring data accuracy and compliance with governance policies. Collaborate with diverse teams to address business needs and establish best practices in data science. This innovative firm values creativity and inclusivity, offering a dynamic environment where your contributions will significantly impact strategic initiatives. If you are passionate about data and eager to make a difference, this opportunity is for you.

Qualifications

• PhD or MS degree in relevant fields like Statistics or Computer Science.
• Proficiency in data analysis tools and programming languages.

Responsibilities

• Lead design and implementation of analytical frameworks to improve business performance.
• Collaborate with teams to understand data integration requirements.

Skills

Statistical Analysis

Machine Learning

Data Cleaning

Data Visualization

SQL

Python

Java

Scala

Cloud Computing

NLP

Education

PhD in Statistics

MS in Computer Science

Tools

Tableau

Power BI

Spark

Job description

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. 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.

DESIGNATION: Data Scientist

RESPONSIBILITIES

Purpose of the role

The role serves as the 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 and Power BI.
• Knowledge of SQL.
• Programming knowledge in Python, Java, or Scala.
• Familiarity with Cloud environments e.g., Azure.
• Demonstrate clear and thorough analytical thinking.
• Able to multi-task and deliver against timelines.
• Good interpersonal and communication skills.
• Takes ownership of assigned projects.
• Able to work independently or as part of a team to deliver high-quality 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.