Senior Data Scientist — Travel Forecasting & ML Solutions

Vorsee; Genf; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Geneva office

Zusammenfassung

Vorsee seeks a Senior Data Scientist to design and deploy forecasting models for travel demand, pricing dynamics, and KPIs. You will work with large-scale datasets, implement both classical and modern ML approaches, and explore deep learning where applicable.

You will partner with data engineers, product managers, and stakeholders to translate business needs into scalable data solutions, while maintaining reusable code and thorough documentation.

Qualifikationen

• Strong experience (5+ years) in Data Science or Machine Learning roles.
• Solid expertise in time series forecasting and related evaluation methodologies.
• Deep understanding of core machine learning algorithms (supervised and unsupervised) and when to apply them.
• Good familiarity with deep learning concepts and frameworks (e.g., TensorFlow, PyTorch, or similar).
• Advanced Python skills, including strong knowledge of common data science libraries such as 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 working with large-scale structured and unstructured datasets.
• Ability to write clean, maintainable, and production-ready code.
• Strong communication skills and the 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;

Aufgaben

• Design, develop, and maintain time series forecasting models to predict travel demand, pricing dynamics, and related KPIs.
• Work with large-scale datasets (e.g., data pipelines, model training).
• Apply 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.
• Explore and implement deep learning approaches where appropriate.
• Perform thorough data analysis, feature engineering, and validation tailored to time series data (cross-validation strategies, backtesting, handling seasonality and trends).
• 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.

Kenntnisse

Time series forecasting

Python

SQL

Statistics

Deep learning

ML algorithms

Data exploration

Communication skills

Startup mindset

Cloud experience

Pandas/Numpy

Model deployment

Tools

TensorFlow

PyTorch

XGBoost

LightGBM

Prophet

Jobbeschreibung

Vorsee seeks a Senior Data Scientist to design and deploy forecasting models for travel demand, pricing dynamics, and KPIs. You will work with large-scale datasets, implement both classical and modern ML approaches, and explore deep learning where applicable.

You will partner with data engineers, product managers, and stakeholders to translate business needs into scalable data solutions, while maintaining reusable code and thorough documentation.