Grab
Technology
LeadDataScientist(Mobility)
Neural analysis suggests this role is
optimal for entry candidates.
“Lead Data Scientist (Mobility) at Grab. Skills: Machine Learning, Data Science, Statistical Modeling, Data Engineering. Develop and deploy machine learning models. Design and implement data pipelines”
What You'll Achieve.
Improve model performance; Enhance data quality; Drive business insights
Industry & Context.
Root cause analysis; Analytical thinking
What They're Looking For.
Must Have
5+ years of experience in data science, Proficiency in SQL, Experience with Python or R, Experience with machine learning frameworks, Experience with data visualization tools, Experience with cloud platforms
Nice to Have
PhD in a quantitative field, Experience with distributed computing frameworks, Experience with deep learning frameworks, Experience with MLOps, Experience with data engineering
What You'll Do.
Develop and deploy machine learning models
Design and implement data pipelines
Conduct exploratory data analysis
Build and maintain data visualizations
Collaborate with engineering teams
Communicate findings to stakeholders
Stay updated on industry trends
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Product teams; Business stakeholders
Communication Scope
Stakeholder communication; Technical presentations
Process & Methodology
Agile methodologies, Scrum
Full Job Description
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. Get to Know the Team You'll join the Mobility Data Science team at the core of Grab's founding business. We build high-concurrency AI models that power the ride-hailing experience for millions of passengers across Southeast Asia. Our team balances a complex two-sided marketplace through geospatial modeling, behavioral economics, and real-time optimization algorithms. We work with Engineering, Product, and regional operations teams to translate marketplace challenges into scalable data solutions. Get to Know the Role As a Lead Data Scientist (Mobility), you'll report into the Senior Data Science Manager and be based onsite at One North Grab Singapore office. You'll serve as a senior technical contributor within the Mobility DS team, owning complex AI projects from problem definition through to production deployment. You'll architect scalable data science solutions that power our core ride-hailing engine, make decisions on ML system design, and guide the technical implementation of models that handle millions of daily transactions. You'll also provide hands-on technical guidance to junior team members through code reviews and architectural mentoring. The Critical Tasks You will Perform You'll: * Design, build, and deploy production-grade AI models for ride-hailing services, managing the full lifecycle from prototyping through A/B testing frameworks to production monitoring systems. * Develop generative AI experiences for ride-hailing, building systems that predict passenger intent, handle multi-modal transit
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