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7 дней назад

Data Scientist

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Luxembourg
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 (AI/ML): Design and deploy AI solutions for tire intelligence services enabling better decision-making for fleet customers with an accent on data modeling, ML pipelines, and scalable analytics. Focus on exploring large datasets, collaborating on CI/CD practices, and ensuring solution quality through testing and monitoring.

Hybrid in Luxembourg (LU GICL)

Company

hirify.global is one of the world's largest tire companies with Innovation Centers in Akron, Ohio, and Colmar-Berg, Luxembourg.

What you will do

  • Partner with product owners and stakeholders to identify opportunities for data-driven and AI-based solutions
  • Design and support development of AI solutions from concept to deployment
  • Explore, clean, and model data to generate insights for large-scale initiatives
  • Collaborate with data scientists and engineers to scale solutions and maintain ML pipelines (CI/CD)
  • Ensure solution quality through testing, code reviews, and monitoring
  • Coordinate research collaborations, project delivery, reporting, and knowledge sharing

Requirements

  • PhD in Data Science, Mathematics, Computer Science, or related field
  • Experience with machine learning and advanced analytics on large datasets
  • Familiarity with deploying and maintaining ML models in cloud environments (e.g., AWS or Azure)
  • Strong foundation in applied mathematics (statistics, linear algebra, optimization)
  • Experience with data science and software engineering tools (e.g., Python, Spark, Git, CI/CD)
  • Ability to collaborate across teams and communicate with technical and non-technical audiences

Culture & Benefits

  • Collaborative environment with product, business, and technical teams
  • Openness to diverse backgrounds and experiences
  • Opportunity to contribute to innovative tire intelligence services
  • Focus on curiosity, learning, and knowledge sharing

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