Data Scientist (TravelTech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist (ML/Pricing): Developing and deploying end-to-end ML models for pricing tasks within a global travel-tech ecosystem with an accent on classical ML, deep learning, and production-grade Python. Focus on designing A/B tests, optimizing model quality post-launch, and building scalable ML pipelines.
Location: Remote opportunity available
Company
is a global travel-tech company that develops advanced online booking platforms for tourists and travel agents across 220 markets.
What you will do
- Manage end-to-end ML projects from problem definition and dataset building to deployment and support.
- Develop and train classical ML and Deep Learning models, including text and image embeddings.
- Design and analyze A/B tests, defining metrics and interpreting results for solution deployment.
- Deploy production-grade Python services and manage releases and integrations.
- Monitor post-launch model quality, handling metrics, drift, degradation, and improvement plans.
- Collaborate with data engineers and analysts to define data requirements and assess feasibility.
Requirements
- 4+ years of experience as a Data Scientist, specifically with pricing tasks.
- Proven track record of managing end-to-end ML projects in production.
- Strong knowledge of classical ML: feature engineering, boosting, and calibration.
- Experience with DL frameworks such as PyTorch or TensorFlow.
- Proficiency in production-grade Python and SQL for independent dataset construction.
- English: B2 (upper-intermediate) level required
Nice to have
- Experience with experiment tracking tools like MLflow, W&B, or DVC.
- Experience with orchestration tools such as Airflow, Prefect, or Dagster.
Culture & Benefits
- Flexible schedules and remote work opportunities.
- Internal training programs for soft skills and leadership development.
- Partial compensation for external training and professional conferences.
- Corporate English school with group/individual lessons and speaking clubs.
- Corporate discounts on hotels and travel services.
- MyTime Day Off: an additional paid non-working day.
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