Data Scientist

• Collaborate with business and product stakeholders to understand challenges and goals.
• Translate business problems into technical requirements and modeling approaches.
• Develop, evaluate, and iterate on data-driven models and solutions (e.g. ranking, or other optimization problems within the team's scope).
• Partner with ML Engineering to bring solutions into production.

Job Requirements

• Bachelor's in Computer Science, Data Science, Statistics, or related field. Master's a plus.
• 3–5 years of experience in Data Science or a related role.
• Strong ability to translate business requirements into technical specifications.
• Familiar with LLM-based systems (embeddings, structured extraction)
• Experience in ranking, recommendation, or search relevance
• Familiar with Causal Inference or Econometrics
• Experience in Optimization Techniques or Simulation
• Strong Python and experience with ML/Stats libraries (scikit-learn, LGBM, XGBoost, etc.).
• Proficient in SQL for data manipulation and analysis.
• Proactive, self-motivated, comfortable working independently on ambiguous problems.
• Comfortable working alongside AI tools (eg. Claude Code) to accelerate model development and analysis.

Good to Have

• Experience with A/B testing and experimentation platforms.
• Experience building or deploying ML models in production.
• Travel, Hospitality, or OTA experience.

Hirer responsiveness Salary match Number of applicants

Traveloka () is a tech startup based in Jakarta. We aim to revolutionize Indonesian travel marketplace and make it more accessible to travelers across the country. Since it is a mammoth of a task, we'd love to have talented people from diverse backgrounds who can help us achieve our mission. We are committed to building a dynamic workplace where people truly enjoy their work and feel that they can really have an impact.

Traveloka () is a tech startup based in Jakarta. We aim to revolutionize Indonesian travel marketplace and make it more accessible to travelers across the country. Since it is a mammoth of a task, we'd love to have talented people from diverse backgrounds who can help us achieve our mission. We are committed to building a dynamic workplace where people truly enjoy their work and feel that they can really have an impact.