freehire launches on Product Hunt on 26 August.

Follow →

Data Scientist

Summary

Builds and deploys ML models for ranking, recommendations, and search relevance at a travel platform, collaborating with engineering to ship solutions.

Job Description

Job ID: MJ000277

About The Role

Traveloka's Data Science team solves complex problems and optimizes various aspects of the business — from search and ranking to broader operational and business challenges. You'll work across a range of problems, translating business goals into technical solutions, and get to work closely with ML Engineering to bring your models into production.

Key Responsibilities

  • 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.

Qualifications

  • 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.

See also