Wego.com
201 - 500 employees
Founded 2005
🏪 Marketplace
👥 B2C
☁️ SaaS
💰 $12M Series C - Wego on 2017-10
Marketplace • B2C • SaaS
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.
Data Scientist
🔥 0 minutes ago
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Wego.com
201 - 500 employees
Founded 2005
🏪 Marketplace
👥 B2C
☁️ SaaS
💰 $12M Series C - Wego on 2017-10
Marketplace • B2C • SaaS
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
• Design causal inference and quasi-experimental approaches for pricing and conversion measurement across our products • Build and calibrate probability and conversion models that feed optimization routines across our marketplace, distribution, and pricing products • Build elasticity and gain/loss models to power bidding and pricing optimization decisions • Select and validate statistical methods that best fit the data and business problem at hand • Build ranking and relevance models for sort order and personalization across our flight and hotel search products • Partner with engineering to productionize models, and with analytics and product teams to translate business questions into measurable, testable hypotheses
🎯 Requirements
• 3-8 years of experience in data science, applied statistics, or a related field • Strong background in experimental and quasi-experimental design, probability calibration, and statistical model evaluation • Proven track record of delivering statistical work that directly informed business decisions • Experience building production ML systems • Fluency in SQL and Python • Hands-on experience with causal inference methods, Bayesian modeling, and experimental / quasi-experimental design in production settings • Experience building ranking or relevance models (e.g. learning-to-rank, personalization, search/recommendation ranking) • Experience working with cloud platforms (e.g. Google Cloud Platform, AWS, or Azure) for data storage, model development, and deployment • Comfortable working alongside AI tools (eg. Claude Code, Codex) to accelerate model development and analysis • High agency and comfort working through ambiguity • Team player who works well cross-functionally
🏖️ Benefits
• Flexible work arrangements • Professional development opportunities
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