Who we need
Business domain:- Identifying hypotheses to improve the relevance of search results.
- Developing new features and training ranking models.
Job responsibilities
- Manage end-to-end ML projects: problem definition → solution → testing → deployment → support.
- Work with data engineers to build datasets and define data requirements, and assess. feasibility, risks, and constraints
- Work with data analysts to design and analyze A/B tests: metrics, splits, interpretation of results, and recommendations for deploying solutions.
- Develop and train models (classic ML + DL), including solutions for text and image embeddings; conduct offline evaluation and error analysis.
- Deploy the model and code to production (Python service), support releases and integrations.
- Be responsible for model quality post-launch: metrics, monitoring, drift/degradation, improvement plans, and support procedures.
Key qualifications
- 4+ years of experience as a Data Scientist (with specific experience in search / ranking / recomendations tasks).
- Experience managing end-to-end ML projects in production (from setup to support).
- Excellent understanding of classical ML: feature engineering, boosting, classification/regression, cross-validation, threshold selection, calibration.
- Experience with DL (PyTorch/TensorFlow): understanding of fine-tuning principles and model inference.
- Python (production-grade): readable code, tests for critical components, understanding of model/artifact packaging and service integration.
- Understanding of ML monitoring: quality metrics, drift, alerts, diagnostics, and support procedures.
- SQL proficiency sufficient for independent dataset building (joins, window functions).
- Experience with model interpretability and error analysis.
- MLflow / W&B / DVC or similar experiment tracking tools.
- Orchestration/pipelines (Airflow/Prefect/Dagster) and advanced data processing.
- English at the B2 (upper-intermediate) level.
We offer you
- Flexible schedules and opportunity to work remotely;
- Ambitious and supportive team who love what they do, appreciate each other, and grow together;
- Internal programs for adaptation and training, development of soft skills, and leadership abilities;
- Partial compensation for participating in external training and conferences;
- Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world;
- Corporate prices on hotels and travel services;
- MyTime Day Off - an extra non-working day without loss of compensation.
Product
Emerging Travel Group is a global travel-tech company whose brands have been operating in over 220 source markets since 2010. We specialize in developing advanced online booking platforms for all types of clients — from individual tourists to travel agents and companies organizing business trips. Our solutions empower hoteliers to effortlessly showcase their accommodations, boosting visibility and attracting a broader audience.
Our mission is to create, distribute, and operate the most convenient travel products. We constantly innovate and break the rules of the highly complex travel industry to make travel more widely available for individuals, more rewarding for professionals, and simpler for everyone.
More about our company and mission
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