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2 дня назад

Data Scientist (TravelTech)

Формат работы
remote
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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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

hirify.global 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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