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Junior Data Scientist (AI)

Тип работы
fulltime
Грейд
junior
Английский
c1
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

Junior Data Scientist (AI): Supporting the analysis of business needs and developing machine learning models with an accent on data cleaning, feature engineering, and basic NLP tasks. Focus on building PoCs to demonstrate data-driven value and collaborating with cross-functional teams to solve business problems.

Company

hirify.global is a technology services company that emphasizes an entrepreneurial culture and a strong commitment to continuous professional development.

What you will do

  • Translate business needs into data and analytics use cases under senior guidance.
  • Develop, train, and evaluate machine learning models, including text classification and similarity analysis.
  • Perform data cleaning and exploration on structured and semi-structured datasets to ensure quality.
  • Create exploratory analyses and Proofs of Concept (PoCs) for business stakeholders.
  • Optimize model performance through feature engineering and hyperparameter tuning.
  • Collaborate with data scientists, data engineers, and business teams on diverse projects.

Requirements

  • Master’s degree in Data Science, AI, Computer Science or a related field.
  • Solid foundations in data analysis and machine learning.
  • Proficiency in Python and its data science ecosystem (pandas, numpy, scikit-learn).
  • Analytical mindset and ability to translate business problems into technical solutions.
  • Fluent in English and French.

Nice to have

  • Basic knowledge of Natural Language Processing (NLP).

Culture & Benefits

  • Strong commitment to diversity, inclusion, and belonging for all backgrounds.
  • Flexible work arrangements to support a healthy work-life balance.
  • Access to a world-class digital learning package including Coursera, Pluralsight, and Udemy.
  • Curated training programs from leading partners like Harvard Business Review, Microsoft, AWS, and Google.

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