Senior Data Scientist

Job not on LinkedIn

🔥 2 hours ago

🇨🇭 Switzerland – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 12%

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Vorsee

WebsiteLinkedInAll 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).

📋 Description

• 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

🎯 Requirements

• Strong experience (5+ years) in Data Science or Machine Learning roles • Solid expertise in time series forecasting and related evaluation methodologies • Deep understanding of supervised and unsupervised machine learning algorithms and when to apply them • Good familiarity with deep learning concepts and frameworks such as TensorFlow or PyTorch • Advanced Python skills, including NumPy, Pandas, SciPy, scikit-learn, Matplotlib/Seaborn, and relevant time series libraries • Strong knowledge of statistics, probability theory, and experimental design • Experience with SQL and large-scale structured and unstructured datasets • Ability to write clean, maintainable, production-ready code • Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders • Resourceful self-starter, comfortable with ambiguity and shifting priorities in a startup • Highly organised, disciplined, and detail-oriented

🏖️ Benefits

• Join a small, focused team of exceptional talent and high performers • Competitive salary adjusted for experience and market benchmarks

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