Lead Data Scientist, Pricing

Role overview

This position sits within the Fulfilment organization at Gojek and brings together teams across Singapore, India, and Indonesia to solve high-impact operational and marketplace problems. The focus is on improving the efficiency and reliability of on-demand services by using data science to support dynamic pricing decisions under changing market conditions. In the first six months, the role is expected to contribute directly to pricing improvements that strengthen service reliability.

The work is highly cross-functional and involves partnering with business leaders, product managers, engineers, analysts, and other data scientists. The role has a direct influence on customer experience and driver earnings, and suits someone who enjoys working on meaningful, large-scale problems in a fast-moving environment.

Key responsibilities

• Turn broad business challenges into clearly defined technical problems that can be addressed through statistics, machine learning, and data analysis.
• Work with product, engineering, and business teams to develop and scale data science solutions that support pricing across ride-hailing, food delivery, and logistics.
• Take ownership of the complete machine learning workflow, including research, model design, implementation, deployment, experimentation, and tracking business impact.
• Strengthen the dynamic pricing engine using econometrics, causal inference, and simulation methods.
• Plan, run, and interpret experiments to assess model performance and business outcomes, working closely with analysts and product partners on measurement and success criteria.
• Track model health and effectiveness, spot improvement opportunities, and recommend practical fixes.
• Present findings, trade-offs, and technical decisions clearly to non-technical and technical stakeholders while operating independently in ambiguous settings.

Requirements

• A Bachelor’s or Master’s degree in Computer Science, Statistics, Machine Learning, or another quantitative discipline, along with 5 to 8 years of relevant experience.
• Prior experience working on a ride-hailing pricing engine or a similarly fast-changing pricing environment.
• Strong grounding in statistics and machine learning, with evidence of practical use in real projects.
• Comfort using Python and SQL, plus familiarity with common data analysis or modelling libraries.
• Good analytical judgment and problem-solving ability, with the skill to interpret data and explain conclusions clearly.
• Self-driven, quick to learn, and effective in collaborative cross-functional teams.
• Curious, humble, and motivated to apply data science to real-world problems at scale.
• Helpful extras include experience with Jupyter, Git, or Docker; exposure to real-time ML systems; familiarity with cloud platforms such as GCP, AWS, or AliCloud; and public work such as open-source contributions.

Team and company context

The Fulfilment team works on some of the most valuable operational problems inside Gojek. Its real-time systems support on-demand services such as food delivery, ride-hailing, and logistics, helping millions of orders get completed every day.

The team tackles questions such as how to set driver incentives within budget and supply goals, how to tune pricing to balance revenue, customer demand, and driver earnings, why certain drivers are more likely to accept long-distance trips, and how to predict restaurant preparation time so the right driver can be dispatched at the right moment. Many of these decisions must be made in real time, within milliseconds.

Success in this environment depends on more than models alone. It also requires strong product thinking, rigorous experimentation, and the ability to work at scale. The team has access to rich datasets, close collaboration across functions, and modern MLOps infrastructure to build and ship effective solutions efficiently.

Beyond the work itself, the team values both company growth and individual growth. Members also connect through shared interests such as table tennis, travelling, and eating out.

About GoTo Group

GoTo is Indonesia’s largest digital ecosystem, focused on enabling progress by providing the technology infrastructure and services that help people participate in and benefit from the digital economy. Its ecosystem spans mobility, delivery, payments, financial services, and merchant technology, along with e-commerce services through Tokopedia and banking services through its partnership with Bank Jago.

About Gojek

Gojek is a leading on-demand platform in Southeast Asia and a pioneer of the multi-service ecosystem, serving more than 2.5 million driver partners across the region. Its services include transportation, food delivery, logistics, and more, with the goal of solving customer problems and improving livelihoods by connecting users with the right service providers.

About GoTo Financial

GoTo Financial works to expand financial inclusion through consumer and merchant services. Its offerings include GoPay and GoPayLater, and it supports businesses through products such as Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. The business describes its ecosystem as trusted, inclusive, and designed to create long-term value through shared growth.

Important notice

Only official recruitment channels should be treated as legitimate sources for this employer’s roles. Applicants should verify any opportunity carefully and stay alert to impersonation or recruitment scams. The company also notes that AI tools may be used in parts of the hiring process, such as application review, resume analysis, and response assessment, but final hiring decisions are made by people. If more information is needed about how applicant data is handled, candidates may contact the company directly.