{"id":1402924,"url":"https://alion.io/job/vorsee-senior-data-scientist","title":"Senior Data Scientist","company":{"id":3836439,"name":"Vorsee","domain":"vorsee.ai","url":"https://alion.io/company/vorsee","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Geneva, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":78000,"max_usd":206000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1536},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LightGBM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Prophet","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"Seaborn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"XGBoost","optional":false},{"name":"Amazon EC2","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"AWS Lambda","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Embeddings","optional":true},{"name":"Hybrid Search","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"Reranking","optional":true},{"name":"Tool Use","optional":true}],"status":"live","first_seen_at":"2026-05-29T00:00:00Z","employer_posted_date":"2026-05-29","last_verified_at":"2026-10-02T12:43:39Z","board_verified":true,"closed_at":null,"days_open":127,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":126},"description":"Who we are\nVorsee (by ZYTLYN Technologies) empowers companies across the $11 trillion travel industry to shape the future with predictive AI solutions that augment commercial planning, sales, marketing, retailing and operations. We work with some of the largest travel brands in the world, and our vision is to answer highly detailed and granular questions about the future of travel, such as demand, supply, market fluctuations and pricing. Our core focus is on airlines, airports, travel agencies, destinations, tourism boards, hotels, car rentals, travel retailers, and luxury brands.\nWho we are looking for\nWe are looking for a Senior Data Scientist who is passionate about solving complex data and forecasting problems in the travel industry. You are someone who thrives on turning large-scale, real-world data into accurate, actionable insights and predictions that drive business decisions. You combine strong statistical foundations with practical machine learning expertise and are comfortable owning projects end-to-end from problem framing and data exploration to deployment and monitoring in a cloud environment.\nYou are curious, business-oriented, and collaborative. You understand that forecasting in the travel industry requires both technical excellence and domain awareness, especially when working with seasonality, demand volatility, and external drivers.\nLocation / Contract type\nGeneva, Switzerland Office;\nFull-time, Permanent contract.\nOur culture\nWe have a culture that focuses on empowering people, with team members working in our HQ (Geneva, Switzerland), and all across Europe (e.g. France, Spain, Italy, Poland, UK). We believe a diverse team creates better outcomes and fosters a better environment for learning and growth. We put a lot of emphasis on communication, listening, efficient processes and trusting our team. We rely on each other, and work together to achieve our common goals. We believe in working smart, with strong focus and intensity, tackling every challenge as a team.\nYour work\nAs a Senior Data Scientist, you will:\nDesign, develop, and maintain time series forecasting models to predict travel demand, pricing dynamics, and related KPIs.\nWork with large-scale datasets (e.g., data pipelines, model training).\nApply and compare classical statistical models (e.g., ARIMA/SARIMA, ETS, Prophet) and machine learning models (e.g., Random Forest, Gradient Boosting, XGBoost, LightGBM) for forecasting tasks.\nExplore and implement deep learning approaches where appropriate.\nPerform thorough data analysis, feature engineering, and validation tailored to time series data (cross-validation strategies, backtesting, handling seasonality and trends).\nCollaborate with data engineers, product managers, and business stakeholders to translate business needs into scalable data solutions.\nEnsure high-quality code standards, reproducibility, and documentation.\nContribute to model deployment and lifecycle management in production environments.\nRequirements\nBasic requirements\nStrong experience (5+ years) in Data Science or Machine Learning roles.\nSolid expertise in time series forecasting and related evaluation methodologies.\nDeep understanding of core machine learning algorithms (supervised and unsupervised) and when to apply them.\nGood familiarity with deep learning concepts and frameworks (e.g., TensorFlow, PyTorch, or similar).\nAdvanced Python skills, including strong knowledge of common data science libraries such as NumPy, Pandas, SciPy, scikit-learn, Matplotlib/Seaborn, and relevant time series libraries.\nStrong knowledge of statistics, probability theory, and experimental design.\nExperience with SQL and working with large-scale structured and unstructured datasets.\nAbility to write clean, maintainable, and production-ready code.\nStrong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.\nResourceful self-starter, comfortable with ambiguity and shifting priorities in a startup;\nHighly organised, disciplined, and detail-oriented;\nBonus points\nExperience in the travel industry or similar demand-driven industries.\nKnowledge of MLOps practices and tools.\nExperience with embeddings, vector databases, hybrid search, chunking, reranking, tool-calling, and source-grounded LLM answers. \nPython/SQL skills and experience building scalable pipelines for large datasets, APIs, databases, indexing, data quality, access control, and production cloud deployment.\nExperience working in AWS cloud environments (e.g., S3, EC2, Lambda, or similar services).\nExperience with containerisation and orchestration technologies such as Docker and Kubernetes.\nExperience building and maintaining CI/CD pipelines for ML workflows.\nFamiliarity with model monitoring, drift detection, and automated retraining strategies.\nContributions to open-source projects or published work in forecasting or machine learning.\nBenefits\nWhat we offer\nJoin a team of exceptional talent - At Vorsee, we hire thoughtfully and selectively, bringing together a small, focused team of high performers. We believe that a lean and empowered team moves faster, builds smarter, and achieves more. You’ll collaborate with driven colleagues who value efficiency, ownership, and impact.\nCompetitive salary- adjusted for experience and market benchmarks.","description_format":"text","description_chars":5323,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Travel & Tourism","AI Agents"],"lifecycle":[{"event":"open","at":"2026-09-28T16:30:19Z"}],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.265,"p_room":0.28,"age_days":126,"expected_fill_days":24,"reasons":["conf:25","win:tail","crowd:"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/vorsee-senior-data-scientist","json_url":"https://alion.io/job/vorsee-senior-data-scientist.json","meta":{"generated_at":"2026-10-03T02:21:03Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2592,"day_limit":5000,"remaining_today":2408,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}