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2 месяца назад

Data Scientist (Machine Learning)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Spain, Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR

Data Scientist (Machine Learning): Developing and implementing machine learning models to enhance marketplace dynamics with an accent on improving search and recommendation systems. Focus on collecting, analyzing data, and collaborating with cross-functional teams to deliver data-driven solutions.

Location: Must be based in Barcelona with a hybrid work model.

Company

hirify.global is a Barcelona based scale-up focused on empowering conscious consumption through a collaborative economy.

What you will do

  • Collect, clean, and analyze large datasets from diverse sources.
  • Develop and implement machine learning models for business problems.
  • Work with multidisciplinary Product teams to identify opportunities.
  • Own initiatives from start to deployment.
  • Proactively suggest and prototype new data and ML solutions.
  • Communicate complex data insights to stakeholders.

Requirements

  • Bachelor or MsC degree in a quantitative field.
  • Strong coding skills in Python.
  • Experience building data products and ML solutions.
  • Familiarity with libraries like Pandas, Numpy, Scikit-learn, TensorFlow, Keras, PyTorch.
  • Advanced SQL skills.
  • Excellent communication skills.

Nice to have

  • Experience in eCommerce or Marketplace platforms.
  • Experience with AWS cloud services.

Culture & Benefits

  • Competitive phantom shares package.
  • Generous individual learning budget.
  • Flexible working hours.
  • Private Health Insurance.
  • Relocation package and visa sponsorship.

Hiring process

  • Intro Call with talent acquisition.
  • Task submission to showcase expertise.
  • Expertise Interview with the hiring team.
  • Stakeholder Interview with relevant stakeholders.
  • Culture Interview focusing on company values.
  • Offer discussion with talent acquisition.

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