Senior Manager, Data Scientist – Pricing

GoTo Group; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

Gojek is seeking an experienced Data Scientist to join the Fulfilment team in Singapore. You will work with product managers, engineers, and business stakeholders across Singapore, India, and Indonesia to build data-driven pricing and optimization solutions that impact rider earnings and service reliability.

You will lead the full ML lifecycle, from ideation and research to deployment, experimentation, and measurable business outcomes, while operating with autonomy in ambiguous problem spaces.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Statistics, ML, or related quantitative field.
• 8–10 years of relevant experience in data science or ML roles.
• Experience on dynamic pricing engines or similar revenue optimization problems.

Responsibilities

• Translate business challenges into ML problems and data-driven solutions.
• Own the full ML lifecycle from ideation to deployment and evaluation.
• Collaborate with product, engineering, and business teams to scale pricing models.

Skills

Python

SQL

Statistics

Machine Learning

Education

Bachelor's or Master’s in CS/Statistics/ML

Tools

Jupyter

Git

Docker

Job description

About the Role

As a Data Scientist on the Fulfilment team at Gojek, you’ll join a cross-functional group spanning Singapore, India, and Indonesia, working together to solve some of the company’s most complex and impactful problems. Our mission is to fulfil our users' orders efficiently and balance the needs of the customers, drivers and merchants.

In this role, you’ll work closely with business leaders, product managers, engineers, and fellow data scientists who are deeply committed to building real-world solutions. Within your first six months, you’ll contribute to improving our dynamic pricing systems to drive reliability of our on demand services under varying market conditions.

This is a high-impact role where core data science work directly shapes the user experience and driver earnings. If you're passionate about using data to solve real problems, thrive in a fast-moving environment, and want to see your work make a tangible difference at scale, this is the team for you.

What You Will Do

• 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 pricing across ride-hailing, food delivery and logistics.
• 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 our dynamic pricing system using techniques from econometrics, causal inference 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, and operate with a high degree of autonomy in ambiguous problem spaces.

What You Will Need

• Bachelor’s or Master’s degree in Computer Science, Statistics, Machine Learning, or a related quantitative field, with 8‑10 years of relevant experience.
• Experience working on the core dynamic pricing engine for a ride-hailing company or other similarly dynamic domain.
• Solid understanding of statistics and machine learning fundamentals, with projects demonstrating practical application.
• Proficiency in Python and SQL, and familiarity with data analysis or modelling 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.

Bonus Point if you have

• Exposure to tools like Jupyter, Git, or Docker, and familiarity with software development workflows.
• Experience working with real‑time ML systems—even at a project or academic level.
• Familiarity with cloud platforms (e.g. GCP, AWS, AliCloud), or modern data stack tools.
• Contributions to open‑source projects or other public showcases of your work.