Senior Data Scientist

Job not on LinkedIn

🕒 4 days ago

🇨🇭 Switzerland – Remote ⏰ Full Time 🟠 Senior 📊 Data Scientist

👻 Ghost score 12%

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🏢Posted on Vorsee's careers page, not through a job board

👀First seen by Remote Rocketship 4 days ago

✅Still open on Vorsee's site. Checked 4 hours ago.

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Vorsee

Website LinkedIn All Job Openings

11 - 50 employees

✈️ Travel

🤖 Artificial Intelligence

☁️ SaaS

💰 $3.5M Seed Round on 2025-07

Travel • Artificial Intelligence • SaaS

Vorsee is a B2B SaaS platform that combines predictive travel intelligence with agentic AI infrastructure to enable autonomous decision execution for travel enterprises. It provides high-granularity demand, supply and pricing forecasts (claims of 95%+ demand-forecast accuracy and up to 12 months lead time), integrated live and predictive signals, and AI agents that can recommend or autonomously execute actions such as dynamic pricing, automated performance marketing, fleet distribution, and route evaluation. Vorsee targets airlines, airports, hotels, car rentals, OTAs and tourism boards, and emphasizes reduced forecast error (reported up to 40% reduction in month-one), faster time-to-action (80x faster) and early risk detection (around 72 hours ahead).

• Design, develop, and maintain time series forecasting models for travel demand, pricing dynamics, and related KPIs • Work with large-scale datasets, including data pipelines and model training • Apply and compare statistical models such as ARIMA/SARIMA, ETS, and Prophet • Apply and compare machine learning models such as Random Forest, Gradient Boosting, XGBoost, and LightGBM • Explore and implement deep learning approaches where appropriate • Perform data analysis, feature engineering, and time series validation, including cross-validation, backtesting, seasonality, and trend handling • Collaborate with data engineers, product managers, and business stakeholders to translate business needs into scalable data solutions • Ensure high-quality code standards, reproducibility, and documentation • Contribute to model deployment and lifecycle management in production environments