5 дней назад
Senior Data Scientist (Look-2-Book)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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