Data Scientist

This is a fully remote position, open to applicants in Indonesia.

📋 Description

• Develop statistical models that inform pricing, bidding, and conversion strategies within Wego's metasearch marketplace as well as our hotel and flight offerings.

• Design and implement experiments and quasi-experimental analyses to assess the impact of pricing, bidding, and conversion strategies.

• Estimate price responsiveness and evaluate gain/loss trade-offs, translating these insights into pricing and bidding strategies.

• Create calibrated probability models to handle sparse and dynamic data situations.

• Identify opportunities within product performance and business behavior, and follow them through to measured outcomes.

• Make identification assumptions clear and evaluate their plausibility.

• Assess uncertainty through scenario analysis and sensitivity assessments.

• Compare various methods against established baselines and evaluate their calibration, bias, and stability across different segments.

• Differentiate predictive performance from insights regarding decision effects.

• Collaborate with engineers to implement models, establish monitoring protocols, and investigate changes in performance.

• Document assumptions and limitations associated with models.

• Validate the value of opportunities with stakeholders and establish success criteria.

• Assist analysts and product teams in formulating testable questions while conveying uncertainty and trade-offs.

⛳️ Requirements

• 3–8 years of experience in data science, applied statistics, or a related discipline.

• Hands-on experience in causal inference methodologies.

• Strong foundational knowledge of experimental and quasi-experimental design, probability calibration, and the evaluation of statistical models.

• Experience using models to guide decision-making and assess their impacts.

• Proven track record in developing production models and collaborating with engineers on deployment and monitoring tasks.

• Proficient in SQL and Python.

• Practical experience with causal inference and Bayesian modeling, including handling confounding, selection effects, and limited datasets.

• Capability to select interpretable statistical methods and articulate their underlying assumptions.

• Experience with cloud platforms for data access, model development, and deployment.

• Proficiency in AI coding and analysis tools, such as Claude Code or Codex, coupled with independent statistical judgment.

• Ability to identify significant problems, validate their relevance, and take ownership of solutions that lead to measurable impact.

• Skill in aligning priorities with stakeholders and working independently amidst ambiguity.

• Capacity to verify AI-generated analyses against actual data.

• Ability to make analyses reproducible and address defects in models and conclusions.

• Excellent communication skills, a commitment to knowledge sharing, and a swift ability to learn new domains.

• Experience in risk or actuarial modeling, insurance analytics, or similar uncertainty-focused roles is highly advantageous.

• Background in travel, pricing, marketplace dynamics, ranking, or personalization is a plus.

🏝️ Benefits

• Remote work flexibility.

• Opportunity to engage in high-impact projects across Flights and Hotels product lines.

• Professional collaboration with engineering teams, analysts, and product management.

• Exposure to global travel markets.

• Opportunities for knowledge sharing and continuous learning.