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18 часов назад

Data Scientist

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Spain, Ireland, Italy, Germany, Belgium, Greece
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 (Data & Analytics): Developing data-driven solutions aligned with strategic objectives, translating complex data into actionable insights. Focus on leveraging machine learning, predictive modeling, and statistical analysis to influence decision-making and optimize processes.

Location: Fully Remote

Company

hirify.global is committed to caring for the environment and each other.

What you will do

  • Understand key business challenges and develop data solutions that align with strategic objectives.
  • Collaborate with leadership to define the data science roadmap and priorities.
  • Build, deploy, and maintain machine learning models to forecast trends and optimize processes.
  • Analyze large, complex datasets to extract actionable insights and present findings to stakeholders.
  • Advise, build, and continuously improve the data science pipeline.
  • Work closely with business leaders, product teams, and engineers to ensure data solutions meet business requirements.

Requirements

  • Master’s or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • 5+ years of experience in data science, with a proven track record of solving complex business problems using data.
  • Strong understanding of business operations and the ability to align data science projects with business objectives.
  • Ability to translate technical insights into business recommendations and communicate with stakeholders at all levels.
  • Strong analytical thinking with the ability to handle complex and unstructured data.
  • Proficiency in programming languages such as Python, R, or Scala, and experience with machine learning frameworks.

Culture & Benefits

  • Diversity & Inclusion are at the core - everyone is welcome.
  • Value respect, openness, and trusted collaboration.
  • Committed to caring for the environment.

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