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4 часа назад

Data Scientist (Machine Learning)

Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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.

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