About the role:
We are seeking a Senior Data Scientist who possesses a unique blend of statistical rigor and strategic business acumen. Unlike traditional engineering-heavy data science roles, this position focuses on high-level exploratory analysis, model building, and deriving prescriptive insights that shape our business strategy.
This role is ideal for a professional who may have started their journey as a Data Analyst and evolved into Data Science, retaining a strong focus on the why and so what behind the data. You will act as a strategic partner to our Newsrooms and Business Units, using advanced analytics to solve complex challenges in the media landscape.
What You'll Do (Key Responsibilities)
- Strategic Business Partnering: Collaborate closely with Newsroom editors, commercial teams, and senior management to identify critical business problems and translate them into data science initiatives.
- Advanced Analytics & Modeling: Lead the development of statistical models and advanced exploratory data analysis (EDA) to uncover patterns in user behavior, content consumption, and subscription drivers.
- Translating Data to Action: Communicate findings effectively to non-technical audiences. You will be responsible for crafting and presenting data narratives that empower business owners to take action based on your analytical results.
- Descriptive & Prescriptive Insights: Champion a data-centric culture by delivering insights that are not just descriptive (what happened) but prescriptive (what we should do).
- Mentorship & Guidance: Act as a senior technical lead within the team, providing mentorship to data analysts on statistical methodologies, data preparation, and analytical thinking.
- Data Strategy: Provide a point of view on business unit analytical needs, partnering with Data Engineering to ensure our data availability (via AWS Athena) meets the requirements of complex analysis.
What We're Looking For
Essential Qualifications:
- Education: A strong university degree in Statistics, Mathematics, Economics, Operations Research, or a related quantitative field.
- Professional Experience: Proven experience as a Senior Data Scientist or Lead Data Analyst. The ideal candidate has a strong background in statistical analysis and has successfully bridged the gap between analytics and data science.
- Media Industry Expertise: Strong understanding of the digital media landscape, including key metrics across digital content (editorial), digital advertising, and subscriber engagement.
- Technical Proficiency:
- Python: Expert proficiency for data manipulation and modeling (Pandas, NumPy, Scikit-learn).
- SQL: Advanced skills for querying complex datasets (experience with AWS Athena is a strong plus).
- Visualization: Expert knowledge of Tableau to visualize insights and build dashboards.
- Digital Analytics: Deep familiarity with Google Analytics (GA4) data structures.
- Analytical Rigor: A track record of independent learning and leading analytical projects with minimal supervision.
Desired Skills:
- Deep Media Domain Knowledge: Experience specifically working with newsrooms, editorial metrics, product personalization or paywall strategies is highly valued.
- Generative AI Application: While deep engineering is not required, familiarity with how LLMs/GenAI can be applied to solve business problems is a plus.
- Project Leadership: Experience prioritizing workloads and managing analytical projects from conceptualization to presentation.
- Language Proficiency: Chinese, Malay, and Tamil language proficiency is an advantage
Why Join Us
You will be an integral part of a collaborative team, working alongside Data Engineers and Analysts. We value individuals who can look at a dataset and see the business story hidden within it.
If you are a strategic thinker who wants to use data to shape the future of journalism and media, we want to hear from you.
