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5 дней назад

Senior Data Scientist (Look-2-Book)

Формат работы
remote (только Europe)/hybrid/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Cyprus/Portugal/Kazakhstan +3 еще
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
Senior Data Scientist (Look-2-Book) (Machine Learning/TravelTech): Building and deploying scoring and predictive models for travel search-to-book conversion, pricing and availability dynamics, multi-objective optimization, and cache freshness with an accent on production ML ownership and B2B travel problems. Focus on recommendation systems, ranking, entity matching, large-scale data pipelines, and balancing profitability, operational incidents, data accuracy, and system load.

Location: Remote, hybrid, or onsite; available locations are Portugal, Kazakhstan, Montenegro, Cyprus, Georgia, and Thailand

Company

hirify.global is a global travel-tech company developing online booking platforms for travelers, travel agents, and business-travel companies.

What you will do

  • Own machine learning projects end to end, from hypothesis formulation and task definition to production delivery and measurable business impact.
  • Build scoring models that predict search-to-book conversion and model how conversion likelihood changes with price and availability.
  • Develop multi-objective optimization solutions balancing margin, profitability, operational incidents, and B2B client preferences.
  • Predict cache freshness to balance offer accuracy, response speed, and system load.
  • Collaborate with Data Engineers on production pipelines and with Data Analysts on metrics, business context, and A/B tests.
  • Develop, train, validate, test, and deploy models that improve the B2B user experience.

Requirements

  • At least 4 years of hands-on experience as a Data Scientist or ML Engineer.
  • Strong classic machine learning skills, including gradient boosting with CatBoost or LightGBM, classification, and regression.
  • Experience with entity matching, recommendation systems, and ranking approaches such as KNN, FAISS, and pointwise, pairwise, or listwise learning-to-rank.
  • Excellent SQL skills and practical experience processing massive datasets with PySpark.
  • Production-quality Python development, testing, and experience bringing models to production with Airflow and Python microservices.
  • Ability to translate business objectives into clear machine learning tasks and identify root business problems.

Nice to have

  • Experience in TravelTech, e-commerce, or B2B APIs, including hotels, rates, or distributors.
  • Knowledge of NLP, text embeddings, and matching textual rate descriptions, room types, or cancellation policies.
  • Experience with dynamic pricing, multi-objective optimization, or Next Best Action systems.
  • Strong foundations in probability theory and mathematical statistics.

Culture & Benefits

  • Flexible working hours focused on results rather than a fixed 9:00 AM start.
  • Choice of fully remote, office-based, or hybrid work.
  • Internal adaptation, training, soft-skills, and leadership-development programs.
  • Partial compensation for external training and conferences.
  • English lessons, individual and group classes, and speaking clubs.
  • Corporate prices for hotels and travel services, plus an additional MyTime Day Off supporting health and work-life balance.

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