Senior Data Scientist

About the role

We are seeking a Senior Data Scientist to lead the design and implementation of advanced forecasting solutions for the travel industry. You will turn large‑scale, real‑world data into accurate, actionable insights that guide commercial planning, sales, marketing, and operations.

Key responsibilities

• 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 environments.
• Apply and compare classical statistical models (ARIMA/SARIMA, ETS, Prophet) and machine‑learning models (Random Forest, Gradient Boosting, XGBoost, LightGBM).
• Explore and implement deep‑learning approaches where appropriate.
• Perform thorough data analysis, feature engineering, and validation tailored to time‑series data (cross‑validation, back‑testing, handling seasonality and trends).
• Collaborate with data engineers, product managers, and business stakeholders to translate needs into scalable solutions.
• Ensure high‑quality code standards, reproducibility, and documentation.
• Contribute to model deployment and lifecycle management in production environments.

Required profile

• Passion for solving complex data and forecasting problems in the travel sector.
• Strong statistical foundations combined with practical machine‑learning expertise.
• Ability to own projects end‑to‑end, from problem framing to deployment and monitoring.
• Curious, business‑oriented, and collaborative mindset.
• Awareness of travel‑industry dynamics such as seasonality, demand volatility, and external drivers.

Required skills

• ARIMA / SARIMA
• ETS
• Prophet
• Random Forest
• Gradient Boosting
• XGBoost
• LightGBM
• Deep learning approaches for forecasting
• Time‑series cross‑validation and back‑testing techniques
• Feature engineering for time‑series data