Data Scientist

Job not on LinkedIn

🔥 1 hour ago

🇮🇩 Indonesia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Wego.com

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2005

💼 Consulting

🏨 Hospitality

📦 Logistics

💰 $12M Series C - Wego on 2017-10

Consulting • Hospitality • Logistics

Wego. com is a leading travel marketplace and online travel agency focused on the MENA region that helps consumers plan and book flights, hotels, and discover travel inspiration. The company also operates a cashback and rewards platform and provides a business travel and expenses management solution, combining consumer-facing marketplace services with software tools for corporate travel.

📋 Description

• Build statistical models guiding pricing, bidding and conversion decisions across Wego's metasearch marketplace and hotel and flight products • Design experiments and quasi-experimental analyses to measure the effects of pricing, bidding and conversion decisions • Estimate price response and gain/loss tradeoffs and translate them into pricing and bidding decisions • Build calibrated probability models for sparse and changing data conditions • Identify opportunities in product behavior and business performance and carry them through to evaluated outcomes • Make identification assumptions explicit and assess their plausibility • Quantify uncertainty through scenario analysis and sensitivity checks • Compare methods against baselines and evaluate calibration, bias and stability across segments • Distinguish predictive performance from evidence about decision effects • Partner with engineers to deploy models, define monitoring and investigate performance changes • Document model assumptions and limitations • Validate opportunity value with stakeholders and define success criteria • Help analysts and product teams frame testable questions and communicate uncertainty and tradeoffs

🎯 Requirements

• 3–8 years of experience in data science, applied statistics or a related field • Practical experience in causal inference • Strong grounding in experimental and quasi-experimental design, probability calibration and statistical model evaluation • Experience using models to inform decisions and evaluate their impact • Experience developing models for production and working with engineers on deployment and monitoring • Fluency in SQL and Python • Practical experience with causal inference and Bayesian modeling, including confounding, selection effects and limited data • Ability to choose interpretable statistical methods and explain their assumptions • Experience with cloud platforms for data access, model development and deployment • Fluency with AI coding and analysis tools, such as Claude Code or Codex, combined with independent statistical judgment • Ability to identify worthwhile problems, validate their importance and own solutions through measurable impact • Ability to align priorities with stakeholders and work independently through ambiguity • Ability to verify AI-generated analysis against data • Ability to make analyses reproducible and own model and conclusion defects • Precise communication, knowledge sharing and ability to learn new domains quickly • Experience with risk or actuarial modeling, insurance analytics or comparable uncertainty-focused work is a strong plus • Travel, pricing, marketplace, ranking or personalization experience is a plus

🏖️ Benefits

• Remote work arrangement • Opportunity to work on high-impact projects across Flights and Hotels products • Professional collaboration with engineering, analysts, and product teams • Exposure to worldwide travel markets • Knowledge sharing and learning opportunities

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