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обновлено 1 месяц назад

Principal Data Scientist

Формат работы
hybrid
Тип работы
fulltime
Грейд
principal
Английский
b2
Страна
Europe/Germany

Описание вакансии

Текст:
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TL;DR

Principal Data Scientist: Leading design and deployment of AI/ML solutions in marketplace and fintech domains with an accent on generative AI, scalable ML infrastructure, and cross-functional technical leadership. Focus on architecting cloud-native ML workflows, mentoring teams, and driving strategic AI initiatives including GenAI and LLM integration.

Location: Hybrid in Munich, Germany (2 days onsite per week)

Company

hirify.global is a leading company leveraging state-of-the-art technology to deliver innovative AI solutions in the automotive marketplace and fintech sectors.

What you will do

  • Shape strategic direction and vision of Data Science with focus on AI/ML and GenAI opportunities.
  • Lead design and deployment of predictive and generative AI models for personalization, pricing, search, and optimization.
  • Collaborate with product leaders to align ML initiatives with business goals and drive innovation.
  • Architect scalable ML infrastructure and automated workflows using cloud-native tools (AWS, Kubernetes).
  • Ensure performance and compliance of production AI models through governance and monitoring.
  • Provide technical leadership and mentorship to data scientists and cross-functional teams.

Requirements

  • Location: Hybrid role based in Munich, Germany
  • Advanced degree in Computer Science, Engineering, Mathematics, or related field.
  • 10+ years experience in data science, machine learning, or applied AI with production impact.
  • Expert programming skills in Python and SQL; proficiency with ML frameworks (TensorFlow, PyTorch, scikit-learn).
  • Experience with GenAI/LLM technologies including Hugging Face, LangChain, OpenAI APIs.
  • Strong cloud infrastructure knowledge (AWS), containerization (Docker), orchestration (Jenkins, Airflow).
  • Proven MLOps skills including CI/CD, model monitoring, versioning, and automated retraining.
  • Excellent communication and stakeholder management skills.

Nice to have

  • Experience influencing product roadmaps in agile environments (Scrum/Kanban).

Culture & Benefits

  • Competitive compensation and personal benefits including partner discounts.
  • Targeted training, workshops, coaching, and support for personal growth.
  • Cutting-edge laptops and personal tech equipment.
  • Modern cloud-native tooling and infrastructure for scalable experimentation.
  • Flexible working hours, hybrid work, 30 vacation days per year.
  • Dog-friendly office and regular team events including hackathons and social gatherings.