Lead Data Scientist

Overview
Join to apply for the
Lead Data Scientist
role at
Grab .
About Grab and Our Workplace
Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.
Job Description
Get to Know the Team
At Grab, the Market Insights team drives impactful data-driven decisions by uncovering insights about the region's users, merchants, and driver partners. By analysing vast datasets across transactional and behavioural activities, we bridge the gap between raw data science capabilities and actionable business strategies. Our work is pivotal in driving growth and enhancing the on-demand industry, always innovating through AI/ML integration for practical business applications.
Get to Know the Role
As a Lead Data Scientist (Analytics), your role involves implementing advanced machine learning systems to improve user engagement, merchant operations, and driver strategies. You\'ll be a technical leader and problem solver, able to deploy data models into production and guiding team members in the best practices for AI and machine learning applications. Your expertise will directly influence product decisions and shape Grab's competitive edge in the on-demand economy. You\'ll be part of an enthusiastic and collaborative team, reporting to the Head of Analytics - User & Market Insights at our One North Singapore office.
The Critical Tasks You Will Perform
Collaborate with engineers, product managers, marketing teams, and regional country teams to convert business challenges into machine learning solutions.
Lead AI initiatives to enhance internal productivity, streamline workflows, and automate tasks within the User & Market Insights team.
Analyze and interpret complex datasets of transactional, behavioural, and user interactions to uncover trends and actionable insights that inform growth strategies.
Develop and productionise scalable machine learning models, ensuring solutions can handle large datasets while being adaptable to changing business requirements.
Fine-tune and implement LLM-based use cases, customising pre-trained large language models for Grab-specific applications.
Optimise ML frameworks and statistical methods, such as TensorFlow, PyTorch, and causal inference for robust modelling needs.
Manage MLOps Lifecycles, automating processes from data preparation, evaluation, training, and serving models in production environments.
Mentor team members, providing technical guidance and sharing knowledge to elevate the team\'s capabilities.
Qualifications
What Essential Skills You Will Need
You have a Degree in Computer Science, Software Engineering, Mathematics, Physics, or other related fields. You have at least 7 years of experience in large-scale Machine Learning systems and at least 3 years in a senior or lead data scientist role.
You are proficient in machine learning frameworks (TensorFlow/PyTorch) to implement and optimize predictive models and neural networks for ML tasks.
You have experience designing and deploying fine-tuned LLMs to leverage large language models for tailored applications in enterprise scenarios.
You have programming skills in Python and knowledge of MLOps lifecycle management to automate workflows and deploying models when working with large-scale datasets.
You have big data processing expertise in Spark (or equivalent frameworks).
You have statistical knowledge in causal inference or advanced methods.
You have end-to-end project management abilities from data collection to model deployment, including stakeholder alignment to bridge expectations with technical deliverables.
Additional Information
Life at Grab
We care about your well-being at Grab, here are some of the global benefits we offer:
We have your back with Term Life Insurance and comprehensive Medical Insurance.
With GrabFlex, create a benefits package that suits your needs and aspirations.
Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life\'s challenges.
Balancing personal commitments and life\'s demands are made easier with our FlexWork arrangements such as differentiated hours
What We Stand For At Grab
We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Software Development
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