About the Role
Changi Airport Group, serving tens of millions of customers annually, aims to provide memorable experiences by connecting lives. We are continuously improving our services, from growing Singapore’s air connectivity to enhancing various touchpoints and curating personalized retail offerings. The talent and commitment of our people drive these aspirations.
The Enterprise Data Science & Management (EDSM) team consists of analytics professionals dedicated to solving business problems and building data capabilities across the enterprise. EDSM employs data science methodologies and a “data first” approach to distill actionable insights for senior management and business teams, aiming to create positive impact and business value through data-driven decision-making.
We are seeking a Head of Data Science to join the EDSM team. In this role, you will lead the deployment of decision sciences using advanced analytics, machine learning, and AI capabilities to support various lines of business. You will also be instrumental in embedding data-driven analytics and decision-making into the company’s DNA and culture. The ideal candidate is a driven leader with a proven track record in leading teams to apply data science for positive impact in areas such as revenue generation, cost reduction, commercial innovation, or operational efficiency.
Responsibilities
- Lead data science and major data projects to achieve business objectives, taking ownership of model development and deployment.
- Develop an enterprise data science strategy to achieve scale, synergies, and sustainability of model deployment across data science teams.
- Undertake rigorous analyses of business problems on structured and unstructured data with advanced quantitative techniques.
- Apply expertise in data science, statistical analysis, data mining, and data visualization to derive insights that add value to business decision-making (e.g., hypothesis testing, development of MVPs, prototyping, etc.).
- Develop and train predictive / ML models using a diversity of machine learning tools and frameworks.
- Partner and support users in various internal teams to solve problems, identify trends / business opportunities, and participate in experimentations.
- Distill complex analyses and technical concepts into clear and actionable insights for business and enterprise leaders.
- Coach aspiring analytics practitioners in the company, give talks, conduct trainings, and internal workshops to build up in-house data science capabilities.
Requirements
- At least 10 years of experience in quantitative analysis and data science (machine learning / predictive modelling) with high proficiency in programming languages such as Python or R.
- Ability to grasp business concerns and formulate them as technical problems that can be solved using data and the appropriate toolkit.
- Deep expertise in a range of ML concepts, frameworks, and techniques such as logistic regression, clustering, dimensionality reduction, recommendation systems, neural nets, etc.
- Strong understanding of data infrastructure technologies (e.g., Spark, TensorFlow, etc.).
- Familiarity with data engineering methodologies, including SQL, ETL, and experience in manipulating data sets with structured and unstructured data using Hadoop, AWS, or other big data platforms.
- Highly proficient in data visualization and the use of dashboarding tools (e.g., Tableau, Power BI, Matplotlib, etc.).
- Proven track record in delivering bespoke data science solutions in a cross-functional setting.
- Strong project management and organizational skills.
- Excellent written, verbal communication skills and adept at engaging senior management leaders.
Education
- At least a Masters in Computer Science, Mathematics, Statistics, or other quantitative disciplines.