{"id":2355323,"url":"https://alion.io/job/kayak-data-scientist-2","title":"Data Scientist","company":{"id":3573,"name":"KAYAK","domain":"kayak.com","url":"https://alion.io/company/kayak","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":69,"open_postings":4,"ghost_share":0.25,"stale_share":0.5,"repost_share":0.25,"time_to_fill_p50_days":41,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Berlin, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":45000,"max_usd":125000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":782},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Arize Phoenix","optional":false},{"name":"Comet ML","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Machine Learning","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Trino","optional":false}],"status":"live","first_seen_at":"2026-10-12T12:55:32Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-13T12:51:14Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world's leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car and vacation package. We're also transforming business travel with a new corporate travel solution, KAYAK for Business.\nAs an employee of KAYAK, you will be part of a travel company that operates a portfolio of global metasearch brands including momondo, Cheapflights and HotelsCombined, among others. From start-up to industry leader, innovation is at our core and every employee has an opportunity to make their mark. Our focus is on building the best travel search engine to make it easier for everyone to experience the world.\nKAYAK is looking for a mid-level Data Scientist to build recommendation systems that improve how travelers discover and choose travel options.\nYou’ll translate product and business questions into measurable modeling problems, develop and test solutions with data and experimentation, and partner with researchers, engineers, and cross-functional teams to bring promising work into production. Your work will improve the traveler experience and key business metrics across KAYAK.\nIf you’re excited to solve challenging recommendation problems and make a measurable difference for travelers, we’d love to hear from you.\nThis role will be required to work from our Berlin office 3 days per week.\nIn this role, you will:\nTranslate product and business challenges into well-defined modeling problems, hypotheses, and measurable objectives.\n\nShip production-ready, scalable Machine Learning solutions with real-world impact on user experience and key business metrics.\n\nDesign and evaluate experiments, building rapid prototypes, assessing results rigorously, and iterating on promising ideas.\n\nCollaborate across Data Science, Product, and Engineering, communicating findings, recommendations, and trade-offs clearly and concisely to both technical and non-technical audiences.\n\nPlease apply if you have:\nStrong technical foundations in statistics, machine learning, and programming, backed by a track record of solving complex, real-world data science problems. Demonstrated capability matters more than academic credentials.\n\nHands-on experience developing ML models in business or production environments, with the ability to clearly explain the problems addressed, your specific contributions, and the resulting impact.\n\nOwnership, sound judgment, and analytical thinking, with the ability to navigate technical trade-offs, work independently, and recognize when to seek guidance.\n\nFluency with AI-assisted workflows, leveraging modern tools to improve productivity and quality while critically evaluating their outputs and limitations.\n\nCuriosity, humility, and a collaborative mindset, with a commitment to continuous learning, sharing knowledge, and improving together.\n\nBonus qualifications\nHands-on experience with technologies relevant to KAYAK’s stack, such as PyTorch, Polars, CometML, Arize, Docker, Airflow, Trino and Git/Github.\n\nFamiliarity with Agile ways of working, such as sprint planning and team ceremonies.\n\nBenefits and Perks:\nWork from (almost) anywhere for up to 20 days per year\n\nFocus on mental health and well-being:\nCompany-paid therapy sessions through SpringHealth\n\nCompany-paid subscription to HeadSpace\n\nCompany-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)\n\nNo meeting Fridays\n\nPaid parental leave\n\nPaid volunteer time\n\nFocus on your career growth:\nDevelopment Dollars\n\nLeadership development\n\nAccess to thousands of on-demand e-learnings\n\nTravel Discounts\n\nEmployee Resource Groups\n\n6 weeks paid vacation + a day off for your birthday\n\nFree lunch 2 days per week\n\nPension plan contributions\n\nPublic transportation subsidies\n\nBike leasing program\n\nMonthly social events, Thursday happy hours, sports teams\n\nAn awesome office in Friedrichshain, Berlin\n\nInclusion\nAt KAYAK, we want everyone to have the space to grow, share ideas and do great work. That’s why we’re focused on hiring the best talent from all walks of life and experiences, supporting them well and making sure no one feels like they have to fit a mold to belong here.\nNeed any adjustments for the interview, application or on the job? No problem - just give us a heads-up. We’ve got you.","description_format":"text","description_chars":4361,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Parental leave"],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Price Comparison","Travel Technology"],"lifecycle":[{"event":"open","at":"2026-10-12T14:40:31Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":41,"reasons":["conf:0","win:early"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/kayak-data-scientist-2","json_url":"https://alion.io/job/kayak-data-scientist-2.json","meta":{"generated_at":"2026-10-13T14:55:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":22766,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3573},"rest":"https://alion.io/mcp/rest/get_company?id=3573"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkayak-data-scientist-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fkayak-data-scientist-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fkayak-data-scientist-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/kayak-data-scientist-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkayak-data-scientist-2"}]}