4 часа назад
Data Scientist (Machine Learning)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (Machine Learning): Developing and optimizing machine learning, artificial intelligence, and advanced analytics applications for complex business problems with an accent on scalable algorithms, high-volume data processing, and cloud infrastructure. Focus on designing validated models, implementing reusable Python-based analytical components, and translating complex results into actionable business insights.
Location: Valencia, Spain
Company
develops technology and services that power the travel industry worldwide.
What you will do
- Transform complex, high-volume data into insights and quantify business opportunities.
- Design, develop, validate, and optimize machine learning models and advanced analytical algorithms.
- Build scalable data science solutions for high-performance and distributed computing environments.
- Implement optimized algorithms and reusable analytical components using strong programming skills.
- Manage and optimize cloud infrastructure with attention to performance, reliability, and security.
- Communicate analytical results and their business implications to stakeholders while contributing to the data science community of practice.
Requirements
- 3–5 years of experience in machine learning.
- Strong Python skills, including Pandas, NumPy, and Scikit-learn, plus SQL proficiency.
- Hands-on experience with regression, classification, and time series analysis.
- Experience with AWS and cloud technologies.
- Knowledge of MLflow for model lifecycle management.
- Strong analytical and mathematical skills with a proactive, collaborative, and data-driven approach.
Nice to have
- Experience with PySpark.
- Knowledge of AWS or Azure cloud platforms.
- Experience with Git and version control best practices.
- Familiarity with MLOps practices and MLflow.
Culture & Benefits
- Competitive remuneration package with bonus, equity, pension plan, travel benefits, life and healthcare insurance.
- Lunch and transport allowance plus other employee benefits.
- Flexible working model.
- Learning opportunities through on-the-job training, formal activities, and collaboration.
- Supportive, diverse, and inclusive working environment.
- Opportunity to contribute to technology powering the future of travel.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →