Senior Data Scientist (Traveltech)

TL;DR

Senior Data Scientist (Traveltech): Developing and implementing predictive models for booking likelihood and demand forecasting with an accent on end-to-end ML project delivery. Focus on building production-ready Python services, integrating deep learning for embeddings, and optimizing user experience through data-driven insights.

Location: Remote (Global). Open only to specialists who have already relocated from Russia and Belarus

Salary: $5,000–$6,000 per month gross

Company

Emerging Travel Group is a global travel-tech company operating advanced online booking platforms in over 220 source markets.

What you will do

• Lead end-to-end ML projects from task definition and solution design to production and support.
• Develop and train models using classic ML and DL, including text and image embeddings.
• Collaborate with data engineers to create datasets and assess technical feasibility and risks.
• Design and analyze A/B tests to interpret results and recommend solution rollouts.
• Deploy models as production Python services and maintain stability via monitoring and drift analysis.
• Analyze large-scale data to uncover insights and test product hypotheses.

Requirements

• Must have already relocated from Russia or Belarus.
• 4+ years of experience as a Data Scientist with a track record of production ML projects.
• Proficiency in DL frameworks (PyTorch or TensorFlow) and production-quality Python.
• Strong SQL skills for independent dataset assembly (joins, window functions).
• Experience with ML monitoring, error analysis, and experiment tracking (MLflow, W&B, DVC).
• English: B1 (Intermediate) level required.

Nice to have

• Experience with time series forecasting.
• Knowledge of ranking approaches (pointwise, pairwise).

Culture & Benefits

• Fully flexible work schedule oriented toward results.
• Choice of work format: fully remote, office-based, or hybrid.
• Internal programs for adaptation, training, and leadership development.
• Partial compensation for external training and professional conferences.
• Company-supported English language learning (group/individual lessons, speaking clubs).
• Corporate discounts on hotels and travel services.
• MyTime Day Off for mental recharge and personal well-being.