Senior Data Scientist – Look-2-Book

This is a fully remote position, open to applicants in Portugal, +5 more countries.

📋 Description

• Lead machine learning initiatives from hypothesis development and task identification to achieving measurable business outcomes.

• Take ownership of the complete ML cycle, ensuring rapid time-to-market while maintaining model quality in a production environment.

• Work in collaboration with Data Engineers on production data pipelines.

• Partner with Data Analysts to grasp business context, define metrics, and design as well as assess A/B tests.

• Convert intricate travel and B2B business challenges into mathematical and machine learning modeling tasks.

• Design and implement scoring models that predict the probability of search queries converting into bookings.

• Model how the likelihood of conversion varies dynamically with pricing and availability.

• Enhance the search-to-book funnel.

• Optimize margin/profitability while minimizing operational incidents, considering B2B client preferences.

• Forecast the likelihood of rates/offers becoming outdated before booking to balance data accuracy, speed, and system load.

• Develop, train, and validate machine learning models to test product hypotheses and enhance the B2B user experience.

⛳️ Requirements

• A minimum of 4+ years of practical experience as a Data Scientist or ML Engineer.

• Capability to identify core business issues and translate business goals into clear ML tasks.

• Strong knowledge of traditional Machine Learning methods, including Gradient Boosting techniques such as CatBoost/LightGBM, Classification, and Regression.

• Proven experience with entity matching tasks.

• In-depth understanding of Recommendation Systems and Ranking strategies, such as KNN, FAISS, Learning-to-Rank, and pointwise, pairwise, and listwise approaches.

• Experience working with large datasets; the company processes terabytes of data daily.

• Exceptional SQL skills.

• Practical experience in constructing pipelines using PySpark.

• Ability to write production-quality Python code.

• Capability to write tests.

• Willingness to deploy models into production.

• Familiarity with Airflow and Python microservices.

• Experience in TravelTech, E-commerce, or B2B APIs (preferred).

• Basic knowledge of NLP and understanding of text embeddings and how to train them (preferred).

• Experience with dynamic pricing, multi-objective optimization, or Next Best Action systems (preferred).

• A foundation in probability theory and mathematical statistics (preferred).

🏝️ Benefits

• A fully flexible work schedule.

• The option of fully remote, office, or hybrid work arrangements.

• Internal adaptation and training programs.

• Personalized development of soft skills and leadership capabilities.

• Partial reimbursement for external training and conferences.

• Group and individual English language lessons.

• Speaking clubs with colleagues from around the globe.

• Corporate discounts on hotels and other travel services.

• MyTime Day Off, an additional day off for health, mental recharge, personal matters, or other significant activities.