Senior Data Scientist

This is a fully remote position, open to applicants in Switzerland.

📋 Description

• Design, develop, and maintain time series forecasting models for travel demand, pricing dynamics, and associated KPIs.

• Work with extensive datasets, including data pipelines and model training processes.

• Implement and assess statistical models such as ARIMA/SARIMA, ETS, and Prophet.

• Utilize and evaluate machine learning models including Random Forest, Gradient Boosting, XGBoost, and LightGBM.

• Investigate and apply deep learning techniques when suitable.

• Conduct data analysis, feature engineering, and time series validation, which encompasses cross-validation, backtesting, seasonality, and trend analysis.

• Collaborate with data engineers, product managers, and business stakeholders to convert business requirements into scalable data solutions.

• Maintain high standards for code quality, reproducibility, and documentation.

• Contribute to the deployment and management of models throughout their lifecycle in production settings.

⛳️ Requirements

• Significant experience (5+ years) in Data Science or Machine Learning positions.

• Strong proficiency in time series forecasting and related evaluation techniques.

• In-depth knowledge of supervised and unsupervised machine learning algorithms and their appropriate applications.

• Good understanding of deep learning principles and frameworks such as TensorFlow or PyTorch.

• Advanced skills in Python, including libraries such as NumPy, Pandas, SciPy, scikit-learn, Matplotlib/Seaborn, and relevant time series tools.

• Solid grasp of statistics, probability theory, and experimental design methodologies.

• Experience with SQL and the management of large-scale structured and unstructured datasets.

• Capability to produce clean, maintainable, production-ready code.

• Strong communication skills with the ability to articulate complex technical ideas to non-technical audiences.

• Resourceful self-starter, adept at navigating ambiguity and adapting to changing priorities in a startup environment.

• Highly organized, disciplined, and detail-oriented.

🏝️ Benefits

• Join a small, dedicated team comprised of exceptional talent and high performers.

• Competitive salary adjusted based on experience and market benchmarks.