Senior Data Scientist

• 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

• 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

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