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Data Scientist
Компания демонстрирует впечатляющий рост (ARR >$100M) и предлагает работу с современным стеком (LLM, RAG). Полная удаленка в Испании и фокус на инновациях делают вакансию очень привлекательной для опытных специалистов.
Сложность вакансии
Роль требует солидного опыта (от 3 лет) и владения широким стеком технологий: от классического ML до LLM и компьютерного зрения. Дополнительную сложность придает необходимость понимания производственных процессов, таких как CI/CD и работа с Docker/Kubernetes.
Анализ зарплаты
В вакансии не указана зарплата, но для Data Scientist с опытом от 3 лет в Испании рыночный диапазон составляет 45,000–65,000 EUR в год. Lighthouse, будучи успешной международной компанией с крупным финансированием, вероятно, предлагает конкурентоспособную оплату на уровне или выше медианы рынка.
Сопроводительное письмо
I am writing to express my strong interest in the Data Scientist position at Lighthouse. With over three years of experience in applying machine learning techniques and a solid foundation in Python, I am excited about the opportunity to contribute to your innovative commercial platform. My background in developing predictive systems and working with NLP aligns perfectly with your Oraculo and AI-driven web content analysis projects.
Throughout my career, I have successfully executed end-to-end data science projects, from initial ideation to production delivery. I am particularly impressed by Lighthouse's commitment to using LLMs and RAGs to enhance user experiences. I am confident that my technical skills in scikit-learn, PyTorch, and FastAPI, combined with my proactive approach to problem-solving, will allow me to make a significant impact on your team and help drive the growth of The Hotels Network.
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Описание вакансии
At Lighthouse, we’re on a mission to disrupt commercial strategy for the hospitality industry. Our innovative commercial platform takes the complexity out of data, empowering businesses with actionable insights, advanced pricing tools, and cutting-edge business intelligence to unlock their full revenue potential.
Backed by $370 million in series C funding and driven by an unwavering passion for growth, we’ve welcomed five companies into our journey and have surpassed $100 million in ARR in 2024. Our 850+ teammates span 35 countries and represent 34 nationalities.
At Lighthouse, we’re more than just a workplace – we’re a community. Collaborative, fun, and deeply committed, we work hard together to revolutionize the hospitality sector. Are you ready to join us and shine brighter in the industry’s most exciting rocket-ship? 🚀
What you will do
The Hotels Network has joined Lighthouse!And we are expanding internationally. As a Data Scientist, you will develop and implement cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) techniques that power our market-leading products. You’ll work across a wide range of ML/AI domains, including user behavior prediction, NLP, LLMs, computer vision, time-series forecasting, and causal inference. Your work will directly influence key product features used by tens of thousands of hotels and millions of travelers around the world.
Examples of projects you’ll work on include:
- Oraculo Product – Build predictive systems to forecast user behavior, enabling personalized experiences and boosting hotel engagement and conversion.
- AI-Driven Web Content Analysis – Leverage NLP to analyze content across 20,000+ hotel websites, providing actionable insights to optimize the user journey.
- AI-Powered Personalization Tools – Use LLMs to launch recommendation engines that automatically configure personalized web tools for each property, maximizing direct booking effectiveness.
Where you will have impact
Your contributions will have a direct impact on the growth and results of The Hotels Network. By applying your machine learning expertise, you’ll enhance the personalization and performance of our platform, driving value for thousands of hotels globally. Your work will influence product decisions, improve customer experiences, and shape the future direction of our data-driven innovations.
About our team
Our Data Science team is at the core of our innovation. We combine deep technical expertise with real-world impact to deliver AI-powered products that lead the market in personalization and performance. With access to a unique dataset of millions of daily user sessions across 20,000+ hotel websites, we develop high-value innovations in ML/AI domains including:
- User behavior prediction
- NLP
- LLMs, RAGs, and agentic workflows
- Recommenders
- Computer vision
- Time series forecasting
- Causal inference
We are a collaborative, ambitious, and creative team, eager to develop solutions that make a tangible difference for our clients.
What's in it for you?
- Flexible working environment: 100% remote from Spain
- Flexible time off: Autonomy to manage your work-life balance.
- Collaborative team: High-bar, friendly, creative, and passionate colleagues.
- Career development: Workshops, frameworks, tools, training, and processes to realize your full potential.
- Impactful work: Shape products relied on by 75,000+ users worldwide.
- Competitive compensation: Proactively maintained to value your work.
- Referral bonuses: Earn rewards for bringing in new talent.
Who you are
- Bachelor’s degree in a quantitative field such as Computer Science, Mathematics, Physics, Engineering, or similar.
- 3+ years of industry experience applying machine learning techniques.
- Strong technical skills in Python and core ML libraries (pandas, numpy, scikit-learn, TensorFlow/Keras or PyTorch, matplotlib, seaborn, FastAPI).
- Proven experience in end-to-end data science project execution — from ideation and planning to implementation, evaluation, and delivery.
- Strong theoretical and practical understanding of Machine Learning and statistics.
- Hands-on, resourceful, self-motivated, and creative attitude.
Nice to have:
- Experience with Airflow DAGs, Apache Kafka, AWS, Docker, Kubernetes, Linux, Git, and CI/CD pipelines.
- Familiarity with managing and processing large datasets.
- Hands-on experience with Deep Learning, deploying RAGs and agentic workflows in production.
- Understanding of production best practices: code reviews, testing, documentation, and long-term maintenance.
- Master’s Degree in a relevant field is a plus.

Thank you for considering a career with Lighthouse. We are committed to fostering a diverse and inclusive workplace that values equal opportunity for all. We welcome candidates from all backgrounds, regardless of age, gender, race, religion, sexual orientation, and disability. We actively encourage applications from individuals with disabilities and are dedicated to providing reasonable accommodations throughout the recruitment process and during employment to ensure all qualified candidates can participate fully. Our commitment to equality is not just a policy; it's part of our culture.
If you share our passion for innovation and teamwork, we invite you to join us in shaping the future of the hospitality industry. At Lighthouse, our guiding light is to be an equal opportunity employer, and we encourage individuals from all walks of life to apply. Not ticking every box? No problem! We value diverse backgrounds and unique skill sets. If your experience looks a little different from what we've described, but you're passionate about what we do and are a quick learner, we'd love to hear from you.
We value the unique perspective and talents that you bring, and we're excited to see how your light can shine within our team. We can't wait to meet you and explore how we can grow and succeed together, illuminating the path towards a brighter future for the industry. #LI-Hybrid
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Навыки
- Python
- Pandas
- NumPy
- Scikit-learn
- TensorFlow
- Keras
- PyTorch
- FastAPI
- NLP
- LLM
- Computer Vision
- Time Series Analysis
- Causal Inference
- Airflow
- Apache Kafka
- AWS
- Docker
- Kubernetes
- Git
- CI/CD
Возможные вопросы на собеседовании
Проверка практического опыта работы с ключевым стеком компании.
Расскажите о вашем опыте внедрения RAG-систем или агентных воркфлоу в продакшн. С какими основными трудностями вы столкнулись?
Оценка навыков работы с временными рядами, что критично для прогнозирования поведения пользователей.
Какие методы вы используете для обработки сезонности и аномалий при прогнозировании временных рядов в задачах гостиничного бизнеса?
Проверка понимания бизнес-ценности и методологии оценки моделей.
Как бы вы спроектировали систему оценки (evaluation) для рекомендательного движка, который настраивает персонализированные веб-инструменты?
Оценка инженерной культуры кандидата.
Каков ваш подход к обеспечению воспроизводимости ML-экспериментов и долгосрочной поддержке кода в продакшне?
Проверка знаний в области причинно-следственного вывода, упомянутого в описании.
В каких ситуациях вы бы предпочли использовать причинно-следственный вывод (causal inference) вместо стандартного предиктивного моделирования?
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