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Principal Data Scientist
Описание вакансии
Текст:
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
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.