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About the Role

As a Senior Data Scientist on the Fulfilment team, you will join a cross-functional group working to solve complex and impactful problems. Your mission is to fulfill user orders efficiently while balancing the needs of customers, drivers, and merchants. You will collaborate closely with business leaders, product managers, engineers, and fellow data scientists to build real-world solutions. Within six months, you will contribute to improving dynamic driver incentives to enhance the reliability of on-demand services. This high-impact role directly shapes user experience and driver earnings, making it ideal for those passionate about using data to solve real problems in a fast-moving environment.

Responsibilities

Translate complex business challenges into well-defined technical problems solvable with data, statistics, and machine learning.
Collaborate with product managers, engineers, and business stakeholders to build and scale data science solutions that power driver allocations, surge pricing, and driver incentives.
Own the full ML lifecycle—from ideation and research to model development, pipeline implementation, deployment, experimentation, and driving measurable business outcomes.
Improve the efficiency of dynamic driver incentives using techniques from machine learning, causal inference, optimization, and simulation.
Design and interpret experiments to measure model impact, working with analysts and product teams to ensure rigorous evaluation and clear success metrics.
Monitor and evaluate model performance, identifying areas for improvement and proposing solutions.
Communicate insights, trade-offs, and technical decisions effectively to cross-functional stakeholders.
Operate with a high degree of autonomy in ambiguous problem spaces.

Requirements

Bachelor’s or Master’s degree in Computer Science, Statistics, Machine Learning, or a related quantitative field.
Solid understanding of statistics and machine learning fundamentals, with coursework or projects demonstrating practical application.
Proficiency in Python and SQL, and familiarity with data analysis or modeling libraries.
Strong analytical thinking and problem-solving skills, with the ability to reason from data and communicate findings clearly.
A willingness to learn fast, take initiative, and work collaboratively in a cross-functional team.
Curiosity, humility, and a drive to apply data science to real-world problems at scale.

Location

Singapore
India
Indonesia

Work Type

Hybrid

Experience Level

Senior

Education Level

Bachelor's degree
Master's degree

About the Company

The fulfilment team works on high-leverage problems in Gojek, with real-time engines powering on-demand services like food delivery, ride-hailing, and logistics, ensuring timely fulfillment of millions of orders daily.
GoTo is the largest digital ecosystem in Indonesia, aiming to empower progress by offering technology infrastructure and solutions that help everyone access and thrive in the digital economy.
Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners, committed to resolving consumer problems and raising living standards.
GoTo Financial accelerates financial inclusion through leading financial services and merchant solutions, serving consumers and businesses with a trusted and inclusive ecosystem of products.