Senior Data Scientist
Core
Design, develop, and maintain time series forecasting models to predict travel demand, pricing dynamics, and related KPIs for airlines, airports, and travel brands.
Role type
Senior IC data scientist (time series forecasting)
Builds
Predictive AI solutions for commercial planning, sales, marketing, and operations in the travel industry
Domain
Travel industry, demand forecasting, pricing dynamics
Deliverable
production ML models
Required skills
time series forecasting, classical statistical models (ARIMA/SARIMA, ETS, Prophet), machine learning algorithms (Random Forest, Gradient Boosting, XGBoost, LightGBM), deep learning concepts, Python (NumPy, Pandas, SciPy, scikit-learn), SQL, statistics, probability theory, feature engineering, model validation
Preferred skills
MLOps practices, embeddings, vector databases, hybrid search, AWS cloud services, containerization (Docker, Kubernetes), CI/CD pipelines, model monitoring, drift detection
Technologies
TensorFlow, PyTorch, XGBoost, LightGBM, NumPy, Pandas, SciPy, scikit-learn, Matplotlib, Seaborn, SQL, AWS (S3, EC2, Lambda), Docker, Kubernetes
Responsibilities
Design and maintain time series forecasting models; work with large-scale datasets; apply and compare statistical and ML models; perform data analysis and feature engineering; collaborate with data engineers and product managers; ensure code quality and documentation; contribute to model deployment and lifecycle management
Seniority
Senior, hands-on IC
