Get to Know the Team

You will join a collaborative and forward-thinking team focused on harnessing the power of data to transform workflows, optimize efficiency, and guide strategic decisions. Our team engages with cross-functional stakeholders to turn data insights into impactful business outcomes.

Get to Know the Role

As a Data Scientist (Analytics), you'll report into Analytics Manager II and work onsite at Grab One North Singapore office. Your role will be pivotal in designing and implementing data-driven solutions by leveraging advanced analytics and machine learning techniques. You will extract actionable insights from complex datasets and ensure these insights are communicated to stakeholders and integrated into business strategies.

The Critical Tasks You Will Perform

You will:

• Develop and deploy machine learning models to help resolve organisational challenges and enhance operational efficiency.
• Take ownership of analysing large-scale datasets to identify trends, patterns, and actionable insights for decision-making.
• Collaborate with cross-functional teams to translate business requirements into practical analytical solutions.
• Design and execute statistical analyses and experiments (such as A/B tests), presenting conclusions to evaluate initiatives.
• Create dashboards and visualisations to communicate findings to non-technical stakeholders across different functions.
• Lead efforts to optimize existing machine learning models and introduce innovative algorithms.
• Propose and establish best practices for statistical analysis and machine learning. Stay informed about industry advancements in data science techniques and apply these to your work.

What Essential Skills You Will Need

You have:

• Bachelor's degree in Computer Science, Software Engineering, Mathematics, Physics, or a related field with at least 1 year of experience in data science or machine learning roles
• Expertise in Python and machine learning frameworks such as TensorFlow or PyTorch for developing and optimising models.
• Understanding of advanced analytical methods and causal inference to design and conduct impactful experiments.
• Hands-on experience with tools like Spark to process and analyze large-scale datasets.
• Solid command of SQL for querying and working with relational databases.
• Use visualisation tools to craft dashboards and communicate insights to stakeholders.
• Analytical methods to troubleshoot model performance and draw meaningful conclusions.
• Experience working in cross-functional environments, with the ability to align analytical solutions with business needs.