Senior Data Scientist – Look-2-Book

🔥 4 minutes ago

🌐 Portugal, Kazakhstan, +4 more countries – Remote

🇵🇹 Portugal – Remote 🇰🇿 Kazakhstan – Remote 🇲🇪 Montenegro – Remote 🇨🇾 Cyprus – Remote 🇬🇪 Georgia – Remote 🇹🇭 Thailand – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Emerging Travel Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

🏨 Hospitality

📦 Logistics

🛍️ eCommerce

Hospitality • Logistics • eCommerce

Emerging Travel Group is a leading provider of advanced online booking platforms tailored for individual travelers, travel agents, and corporate clients. They empower hoteliers to enhance visibility and attract a wider customer base through their comprehensive travel solutions, which include over 2. 9 million accommodations, flights, transfers, and car rentals across 190 source markets. With a focus on technology excellence, Emerging Travel Group serves a vast network of travel agencies and corporate clients, enabling seamless travel management and collaboration in the dynamic travel industry.

📋 Description

• Lead machine learning projects from hypothesis formulation and task setting through measurable business impact • Own the end-to-end ML cycle, ensuring fast time-to-market and maintaining model quality in production • Collaborate with Data Engineers on production data pipelines • Collaborate with Data Analysts to understand business context, define metrics, and design and evaluate A/B tests • Translate complex travel and B2B business problems into mathematical and machine learning modeling tasks • Design and deploy scoring models predicting the probability of search queries converting into bookings • Model how conversion likelihood changes dynamically with price and availability • Optimize the search-to-book funnel • Optimize margin/profitability and minimize operational incidents while factoring in B2B client preferences • Predict the likelihood of rates/offers becoming stale before booking to balance data accuracy, speed, and system load • Develop, train, and validate machine learning models to test product hypotheses and improve the B2B user experience

🎯 Requirements

• At least 4+ years of hands-on experience as a Data Scientist or ML Engineer • Ability to identify root business problems and translate business objectives into clear ML tasks • Solid knowledge of classic Machine Learning, including Gradient Boosting such as CatBoost/LightGBM, Classification, and Regression • Proven experience with entity matching tasks • Deep understanding of Recommendation Systems and Ranking approaches, including KNN, FAISS, Learning-to-Rank, and pointwise, pairwise, and listwise approaches • Experience working with massive datasets; the company processes terabytes daily • Excellent SQL skills • Practical experience building pipelines with PySpark • Production-quality Python code • Ability to write tests • Readiness to bring models to production • Experience with Airflow and Python microservices • Experience in TravelTech, E-commerce, or B2B APIs (nice to have) • Basic NLP skills and understanding of text embeddings and how to train them (nice to have) • Experience with dynamic pricing, multi-objective optimization, or Next Best Action systems (nice to have) • Foundation in probability theory and mathematical statistics (nice to have)

🏖️ Benefits

• A fully flexible work schedule • Choice of fully remote, office, or hybrid work format • Internal adaptation and training programs • Individual development of soft skills and leadership abilities • Partial compensation for external training and conferences • Group and individual English lessons • Speaking clubs with colleagues from all over the world • Corporate prices on hotels and other travel services • MyTime Day Off, an extra day off for health, mental recharge, personal issues, or other important activities