
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.
🔥 0 minutes ago
🌐 Portugal, Kazakhstan, +4 more countries – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
👻 Ghost score 10%
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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.
• Engage with business objectives involving B2B/B2C pricing, forecasting and optimization of financial and operational metrics, incident prioritization, and customer journey efficiency • Drive machine learning projects end-to-end, from problem definition and formalization through modeling, piloting, and presenting results • Collaborate with data engineers to collect datasets and assess implementation feasibility • Work with analysts on A/B test design, including metric definition, traffic splits, and result interpretation • Develop classic ML, deep learning, time series, and uplift modeling solutions • Conduct error analysis and performance evaluation • Prepare models and code for transfer to production infrastructure • Own model quality, monitor key metrics, and collaborate on degradation issues and improvement plans
• 3+ years of experience as a Data Scientist • Proven experience with end-to-end ML projects • Strong knowledge of classical machine learning techniques, including feature engineering, classification, regression, and boosting • Hands-on experience with uplift modeling and time series tasks with real business applications • Experience working with business stakeholders and understanding optimization problems including pricing, B2C, LTV, retention, and A/B testing • Proficient in Python for data science and machine learning • Confident SQL user, including dataset building, joins, and data analysis • Nice to have: experience with MLflow/DVC, Airflow or similar pipelines, anomaly detection/anti-fraud, deep learning with PyTorch/TensorFlow, and model monitoring
• A fully flexible work schedule • Choice of fully remote, office, or hybrid work format • Internal adaptation and training programs • Soft skills and leadership development programs tailored individually • Partial compensation for external training and conferences • Group and individual English lessons • Speaking clubs with colleagues from around the world • Corporate prices on hotels and other travel services • MyTime Day Off — an extra day off supporting health, mental recharge, personal matters, and work-life balance
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