Lead Data Scientist

About the Role

If you're passionate about turning data into real-world impact, this role is for you. As a Senior Data Scientist at Gojek, you'll leverage data to drive strategic and operational decisions across our ecosystem. From mining insights and building data products to designing experiments and evaluating their real-time results, your work will directly shape how millions of users experience our platform.

You'll lead complex analytical projects, mentor junior data scientists, and collaborate with cross-functional teams to design and implement data-driven solutions that enhance efficiency, optimize performance, and unlock business growth.

• • Design and implement sophisticated statistical and machine learning models to solve complex business problems, optimize service delivery, and predict user behaviour. Use techniques such as deep learning, natural language processing, and time-series analysis.
• Partner with senior stakeholders, including product managers, engineers, and executives, to understand business objectives and translate them into actionable data insights. Provide strategic recommendations to drive business growth and operational excellence.
• Lead and mentor a team of data scientists and analysts. Provide guidance on best practices, model development, and analytical techniques. Foster a collaborative and high-performance environment within the data science team.
• Develop and enforce data governance and quality standards. Oversee data pipeline development, ensuring data accuracy, consistency, and accessibility. Advocate for and implement best practices in data management and analytics.
• Design and execute A/B tests and other experimentation methodologies to assess the impact of changes in product features, user interactions, and service delivery. Analyze results and make data-driven recommendations for optimization.
• Create high-impact visualizations and dashboards to communicate complex data insights to non-technical stakeholders. Present findings and recommendations in a clear, actionable manner to drive decision-making.
• Stay abreast of the latest trends and advancements in data science, machine learning, and analytics. Apply innovative techniques and tools to enhance analytical capabilities and contribute to the company's competitive edge.

• • Master's in Data Science, Statistics, Computer Science, Mathematics, or a related field. Advanced academic qualifications are highly desirable.
• 5-7 years of experience in data science or a related field, preferably within the on-demand services or technology industry.
• Expertise in programming languages such as Python, R, or Scala, as well as proficiency with data manipulation and visualization libraries (e.g., pandas, NumPy, matplotlib, seaborn).
• Understanding of statistical concepts and techniques, with experience applying them to real-world problems.
• Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts to both technical and non-technical audiences.
• A passion for learning and innovation, with a desire to stay ahead of the curve in the rapidly evolving field of data science and technology.

• • Experience with ride hailing, quick commerce or food delivery domain.
• Experience working with unstructured or semi-structured data and human-in-the-loop data operations.
• Experience with distributed systems

About the Team

Our Fulfilment Team powers the real-time engines behind Gojek's core services — food delivery, ride-hailing, and logistics — ensuring millions of daily orders are fulfilled seamlessly. We solve some of the most complex challenges in tech: designing optimal pricing and incentive schemes, predicting preparation and delivery times, and making split-second decisions at scale.

We combine rich datasets, modern MLOps infrastructure, and strong cross-functional collaboration to deliver impactful solutions efficiently. Beyond work, we're a tight-knit group that values continuous learning, personal growth, and a shared love for good food, travel, and the occasional friendly table tennis match.

About GoTo Group

GoTo Group is the largest digital ecosystem in Indonesia with its mission to "Empower Progress' by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia's vast consumer household.

About Gojek

Gojek is Southeast Asia's leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.

About GoTo Financial

GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.

GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.