Senior Data Scientist (Pricing)

Emerging Travel Group

4d • Hybrid

About The Position

We are seeking a Senior Data Scientist with a focus on Pricing to manage end-to-end Machine Learning projects. This role involves defining problems, developing solutions, testing, deploying, and supporting ML models. You will collaborate with data engineers to build datasets and define data requirements, and with data analysts to design and interpret A/B tests. The position requires developing and training models, including those for text and image embeddings, and deploying them to production. A key responsibility will be ensuring model quality post-launch through monitoring, drift analysis, and improvement planning.

Requirements

• 4+ years of experience as a Data Scientist (with specific experience in pricing 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.
• Conversational English.

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.

Benefits

• A fully flexible work schedule
• Choice of work format: fully remote, office, or hybrid
• Internal programs for adaptation and training
• Development of soft skills and leadership abilities tailored individually
• Partial compensation for external training and conferences
• Support for language learning (English): group and individual lessons, speaking clubs
• Corporate prices on hotels and other travel services
• MyTime Day Off - an extra day off for health, mental recharge, personal issues, etc.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed