Emerging Travel Group is a travel-tech company running global platforms for booking hotels, flights, and transfers. Hiring a Senior Data Scientist (Availability) based in Cyprus.

Responsibilities:

  • End-to-end ML ownership: lead ML projects from hypothesis and task formulation to delivering measurable business impact; maintain model quality in production.
  • Cross-functional collaboration with Data Engineers to build production data pipelines and with Data Analysts to define metrics and design/evaluate A/B tests.
  • Domain-specific problem solving: tackle challenges such as rate matching (deduplication of rates from 350+ suppliers), alternative search (RecSys & ranking for unavailable rates), multi-objective optimization (balancing margin and incident minimization), and cache freshness prediction.
  • Develop, train, and validate machine learning models to test product hypotheses and improve the B2B user experience.

Requirements (Must Have):

  • At least 4+ years of hands-on experience as a Data Scientist or ML Engineer.
  • Business mindset: translate business objectives into clear ML tasks.
  • Solid knowledge of classic ML and algorithms: gradient boosting (CatBoost/LightGBM), classification, regression.
  • Experience with matching, recommendation systems and ranking approaches (KNN, FAISS, learning-to-rank, pointwise/pairwise/listwise).
  • Confident experience with big data and massive datasets; excellent SQL skills and practical experience building pipelines with PySpark.
  • Production-quality Python code, ability to write tests, and experience bringing models to production (Airflow and Python microservices).

Nice to have:

  • Experience in TravelTech, e-commerce, or B2B APIs.
  • Basic NLP skills and experience with text embeddings.
  • Experience with dynamic pricing, multi-objective optimization, or Next Best Action systems.
  • Strong foundation in probability theory and mathematical statistics for experiment design and model evaluation.

Benefits / Conditions:

  • Fully flexible work schedule.
  • Choice of work format: fully remote, office, or hybrid.
  • Supportive team, internal programs for adaptation and training, partial compensation for external training and conferences.
  • Language learning support and corporate travel discounts.
  • MyTime Day Off — an extra day off for wellbeing or personal matters.