Join a dynamic team in the business travel industry and contribute to the development of intelligent, data-driven tools that manage billions in global travel spend.
responsibilities :
Design and implement statistical and machine learning models to solve business problems such as dynamic pricing, personalized recommendations, and anomaly detection.
Conduct advanced statistical analyses and A/B experiments to evaluate product impact.
Collaborate with engineering and product teams to deploy data solutions into production.
Transform complex data into actionable business insights.
Support the creation of next-generation tools that optimize travel costs and user experience.
requirements-expected :
5+ years of commercial experience as a Data Scientist.
Degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
Proficiency in Python and data science libraries (Pandas, NumPy, scikit-learn, PySpark or similar).
Strong knowledge of statistical analysis and machine learning techniques.
Solid SQL skills and experience working with large-scale data warehouses (e.g., Snowflake, Redshift, BigQuery).
Hands-on experience deploying and monitoring ML models in production.
Strong communication skills and the ability to present insights clearly.
Team-oriented mindset with a focus on continuous learning.
