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Join GoTo Group's Fulfillment team as a Data Scientist working on dynamic pricing systems for one of Southeast Asia's largest on-demand platforms. You'll be part of a cross-functional team spanning Singapore, India, and Indonesia, solving complex problems that directly impact user experience, driver earnings, and merchant success across ride-hailing, food delivery, and logistics services.
In this role, you will translate business challenges into technical problems solvable with data science and machine learning. You'll own the full ML lifecycle—from research and model development through deployment, experimentation, and measuring business outcomes. Key responsibilities include improving dynamic pricing efficiency using econometrics, causal inference, and simulation techniques; designing and interpreting experiments to measure model impact; monitoring model performance and proposing improvements; and communicating technical insights to cross-functional stakeholders with high autonomy in ambiguous problem spaces.
You'll collaborate closely with product managers, engineers, business leaders, and fellow data scientists who are committed to building real-world solutions. Within your first six months, you'll contribute to enhancing pricing systems that drive reliability under varying market conditions. This is a high-impact role where your data science work directly shapes outcomes at scale.
GoTo Group is the largest digital ecosystem in Indonesia, offering mobility, delivery, payments, financial services, and merchant solutions. Gojek, the core mobility and delivery platform, serves over 2.5 million driver partners across Southeast Asia.
REQUIREMENTS:
- Bachelor's or Master's degree in Computer Science, Statistics, Machine Learning, or related quantitative field
- 5–8 years of relevant experience
- Experience working on core dynamic pricing engines for ride-hailing or similarly dynamic domains
- Solid understanding of statistics and machine learning fundamentals with practical project experience
- Proficiency in Python and SQL; familiarity with data analysis and modeling libraries
- Strong analytical thinking, problem-solving, and data reasoning skills
- Ability to communicate findings clearly to technical and non-technical audiences
- Willingness to learn fast, take initiative, and work collaboratively in cross-functional teams
- Curiosity, humility, and drive to apply data science to real-world problems at scale
BONUS:
- Experience with Jupyter, Git, Docker, or software development workflows
- Exposure to real-time ML systems (project or academic level)
- Familiarity with cloud platforms (GCP, AWS, AliCloud) or modern data stack tools
- Open-source contributions or public work showcases
