data scientist in pricing

Emerging Travel Group is a global travel-tech company whose brands have been operating in over 220 source markets since 2010.

• Engage with business objectives behind pricing for B2B/B2C, forecasting and optimizing financial and operational metrics, prioritizing incidents, and improving customer journey efficiency through revenue growth, cost savings, and business impact
• Drive ML projects end to end, from problem definition and formalization to modeling, piloting, and presenting results
• Collaborate with data engineers to collect datasets and assess implementation feasibility
• Work with analysts to design A/B tests, define metrics and splits, and interpret results
• Develop classic ML, deep learning, time series, and uplift modeling solutions; conduct error analysis and evaluate performance
• Prepare models and code for transfer to production infrastructure; deployment and releases are handled by the technical team
• Take ownership of model quality, monitor key metrics, and collaborate with the team on degradation issues and improvement plans

• 3+ Years of experience as a Data Scientist
• Experience overseeing end-to-end ML projects
• Strong knowledge of classical machine learning techniques, including feature engineering, classification, regression, and boosting
• Hands-on experience with uplift modeling and time series tasks applied to real business problems
• Experience working with business stakeholders and understanding optimization problems, including pricing, B2C, LTV, retention, and A/B testing
• Proficient in Python for DS/ML, including writing clean, readable code for models and experiments
• Confident SQL skills, including building datasets, writing joins, and performing data analysis
• Будет плюсом: experience with MLflow/DVC, pipelines such as Airflow, anomaly detection/anti-fraud, deep learning with PyTorch/TensorFlow, and model monitoring

• Flexible work schedule; there is no requirement to start at exactly 9:00 AM, and results are prioritized
• Partial compensation for external training and conferences
• Group and individual language lessons and speaking clubs
• Corporate prices on hotels and other travel services
• MyTime Day Off: an extra day off for health, mental recharge, personal matters, or other important activities