{"id":3916283,"url":"https://alion.io/job/wego-data-scientist","title":"Data Scientist","company":{"id":48679,"name":"Wego","domain":"wego.com","url":"https://alion.io/company/wego","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Jakarta, Indonesia"],"countries":["ID"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude Code","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-29T15:02:47Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-08T10:03:50Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"We’re on a mission to help people discover the real value of travel - to inspire, to give more reasons, to make it easy - for you to go. Our company was founded back in 2005, and since then, we’ve imagined and created some of the most well-loved products for travelers all around the world.\nToday, Wego is used by millions of people every month - people who travel for adventure, work, family, and for many other reasons. That’s why we work tirelessly to make your experience of planning & booking flights, hotels, and trips as seamless as possible.\nTeam Description:\nYou'll join Wego's Data Analytics & Data Science team, which works across our Flights and Hotels products, from the metasearch marketplace and ad units to our OTA business, in markets worldwide.\nOur roadmap has more high-impact projects than ever, and we're growing the team to deliver the core Flights and Hotels work that needs strong data science and statistical skills.\nThe Role:\nYou will build statistical models that guide pricing, bidding and conversion decisions across Wego's metasearch marketplace and our hotel and flight products. Causal inference is central to the role: you'll separate the effect of a decision from changes in users, markets and measurement.\nWe value modeling experience from risk, insurance, actuarial or other fields where calibrated probabilities and uncertainty affect real decisions. You'll own the statistical reasoning, validation and interpretation, and partner with engineering to put models into production.\nWhat you will be working on:\nDesigning experiments and quasi-experimental analyses that show the real effect of pricing, bidding and conversion decisions\n\nEstimating price response and gain/loss tradeoffs, and turning them into pricing and bidding decisions with clear objectives and constraints\n\nBuilding calibrated probability models that hold up under sparse data and changing conditions\n\nFinding opportunities in product behavior and business performance, and carrying them through to an evaluated outcome\n\nCore Responsibilities:\nMake identification assumptions explicit, test their plausibility and explain what the evidence supports\n\nQuantify uncertainty using scenario analysis and sensitivity checks\n\nCompare methods against useful baselines and check calibration, bias and stability across segments\n\nDistinguish predictive performance from evidence about the effect of a decision\n\nPartner with engineers to ship models, define monitoring and investigate performance changes\n\nDocument assumptions and limitations so others can use models correctly\n\nValidate the value of new opportunities with stakeholders and define success upfront\n\nHelp analysts and product teams frame testable questions, and explain uncertainty and tradeoffs in practical terms\n\nSkills and experience:\n3-8 years of experience in data science, applied statistics or a related field, with practical experience in causal inference\n\nStrong grounding in experimental and quasi-experimental design, probability calibration and statistical model evaluation\n\nA record of using models to inform decisions and evaluate their impact\n\nExperience developing models for production and working with engineers on deployment and monitoring\n\nFluency in SQL and Python\n\nPractical experience with causal inference and Bayesian modeling, including confounding, selection effects and limited data\n\nAbility to choose interpretable statistical methods that fit the problem and explain their assumptions\n\nExperience with cloud platforms for data access, model development and deployment\n\nFluency with AI coding and analysis tools, such as Claude Code or Codex, combined with independent statistical judgment\n\nYou spot worthwhile problems without waiting to be assigned, validate why they matter and own the solution through to measurable impact\n\nYou align priorities with stakeholders, then work independently through ambiguity and missing context\n\nYou use AI fluently but own the output: you check generated analysis against the data and challenge a convincing result when the evidence doesn't support it\n\nYou make analyses reproducible and own defects in the models and conclusions you deliver\n\nYou communicate with precision, share knowledge and learn new domains quickly\n\nAdditional Info:\nExperience with risk or actuarial modeling, insurance analytics or comparable work involving uncertainty and decision consequences is a strong plus\n\nTravel, pricing, marketplace, ranking or personalization experience is a plus","description_format":"text","description_chars":4491,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Travel Agencies","Travel Technology"],"lifecycle":[{"event":"open","at":"2026-11-07T12:44:23Z"}],"visa":[],"liveness":{"score":80,"band":"hot","label":"Hiring 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