Senior Data Scientist

Get to know the Team:

• In the Mobility Data Science team you are at the core and center of Grab's ride hailing business. We are responsible for building and serving AI models to empower our pax' ride hailing experience in Grab.
• Our primary goals are to enhance our passenger experience, and drive decision-making that contributes to user growth and platform efficiency
• We leverage your mathematical modeling, statistical analysis, machine learning algorithms, and programming proficiency to drive data-driven decisions and help us conquer unique business challenges in the ride-hailing industry

Get to know the role:

• Explore and extract insights from massive dataset of geospatial, behavioral, economic, and tens of millions of interactions of our passengers on our platform that can improve passenger experience and network efficiency
• Contribute to solving key business problems such as user experience, user growth, demand and supply balancing, and service differentiation.
• Develop and implement machine learning models to predict ride demand, passenger preferences, passenger cancellation/churn and improve the overall efficiency of the ride-hailing system.
• Continues improvement through iterative model enhancement and A/B testing
• Collaborate cross-functionally with software engineers, product managers, and operational teams to translate business needs into data solutions, implementing and deploying these solutions at scale.
• Contribute to team's innovation and IP creation

Requirements

Must-have

• Master's Degree graduate with at least 3 years of experience, in Machine Learning, Statistics, Applied Mathematics, Computer Science, Economics, Operations Research, or a related field
• Extensive proven experience as a Data Scientist, preferably within the ride-hailing or related industries.
• Deep understanding of machine learning, deep learning, data mining, algorithmic foundations of optimization. Experience with machine learning framework (Tensorflow, pytorch, etc)
• Proficient in one or more of the following programming languages: Python, Scala.
• Self-motivated, independent learner, and willing to share knowledge with team members
• Excellent interpersonal and communication skills to foster collaboration with team members and effectively articulate insights to stakeholders.
• Ability to thrive in a dynamic, fast-paced work environment, managing multiple priorities simultaneously.

Preferred to have:

• Experience with building recommender systems, customer segmentations, large scale forecasting, optimisation and etc
• Experience with algorithm and model development for large scale applications
• Hands-on experience with one or more big data processing frameworks such as Spark
• Experience with applying CI/CD principles to data science projects
• Experience with real-time data processing technologies such as Flink, Kafka, etc
• Experience with fine-tuning LLM and experience to build LLM-based use cases