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7 часов назад

Data Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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): Developing and deploying AI-driven solutions for tire intelligence services with an accent on large-scale data modeling and ML pipeline maintenance. Focus on collaborating with cross-functional teams to translate complex data into scalable, real-world mobility applications.

Location: Colmar-Berg, Luxembourg

Company

hirify.global is a global leader in the tire industry, dedicated to innovating smart mobility solutions with over 125 years of experience.

What you will do

  • Partner with product owners to identify and define AI-based solution opportunities.
  • Design and support the end-to-end development of AI solutions from concept to deployment.
  • Clean, model, and analyze large datasets to generate actionable insights.
  • Collaborate with engineers to scale solutions and maintain robust ML pipelines using CI/CD practices.
  • Ensure high solution quality through rigorous testing, code reviews, and performance monitoring.
  • Coordinate research collaborations and contribute to project delivery and knowledge sharing.

Requirements

  • Master or PhD degree in Data Science, Mathematics, Computer Science, or a related field.
  • Proven experience with machine learning and advanced analytics on large datasets.
  • Familiarity with deploying and maintaining ML models in cloud environments like AWS or Azure.
  • Strong foundation in applied mathematics, including statistics, linear algebra, and optimization.
  • Proficiency in data science and software engineering tools such as Python, Spark, and Git.
  • Ability to communicate effectively with both technical and non-technical stakeholders.

Culture & Benefits

  • Opportunity to work at a global innovation center focused on state-of-the-art mobility technology.
  • Collaborative environment within a dedicated Data Science & Analytics group.
  • Commitment to equal employment opportunity and inclusive hiring practices.
  • Exposure to large-scale industrial data and real-world AI applications.

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