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4 дня назад

Data Scientist (Cloud/AI)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Colombia/Ecuador
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Scientist (ML/Cloud): Developing analytical, predictive, and prescriptive models to drive strategic business decisions with an accent on scalability and operational efficiency. Focus on building end-to-end data pipelines, deploying models on AWS/Azure, and optimizing large-scale data processing.

Location: Hybrid in Quito, Ecuador or Bogota, Colombia

Company

hirify.global and Crayon are a global AI-powered software and cloud solutions provider operating in over 70 countries with a team of 13,000+ professionals.

What you will do

  • Design, develop, and optimize predictive and prescriptive models using statistical and Machine Learning techniques.
  • Analyze large volumes of data to identify relationships between variables and create scalable solutions.
  • Develop end-to-end analytical solutions, from data extraction and processing to model deployment and monitoring.
  • Work with Python, SQL, Spark, NoSQL, and cloud platforms including AWS and Azure.
  • Contribute to continuous improvement initiatives, data quality processes, and analytical automation projects.

Requirements

  • Degree in Engineering, Mathematics, Statistics, Data Science, or related fields.
  • Proficiency in Python, SQL, Spark (PySpark), and NoSQL databases.
  • Experience working with Big Data and Cloud platforms (AWS and Azure).
  • Understanding of statistical models, Machine Learning, and advanced analytics.
  • Knowledge of data structures and CI/CD practices.
  • Must be based in or able to work from Quito, Ecuador or Bogota, Colombia

Culture & Benefits

  • Comprehensive health and well-being programs.
  • Continuous learning and career development opportunities.
  • Performance-based incentives and employee share participation.
  • Flexible and hybrid work models.
  • Engagement in global projects.

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