TL;DR
Data Scientist (AI, NLP): Developing and optimizing end-to-end ML solutions for hotel content focusing on NLP and text generation. Focus on leveraging state-of-the-art AI models, including LLMs, for text understanding and automated summary generation to drive business impact.
Location: Hybrid in Düsseldorf, Germany. Visa support and relocation package are available.
Company
hirify.global is a leading metasearch engine enabling millions of travelers to compare hotel prices and find great deals using cutting-edge technology and machine learning.
What you will do
- Develop end-to-end ML solutions focusing on NLP and text generation for hotel content optimization.
- Leverage state-of-the-art AI models, including LLMs and foundation models, for text understanding and automated summary generation.
- Drive data-driven decisions through analysis of text performance and user behavior, translating findings into actionable insights.
- Collaborate cross-functionally with product and engineering teams to implement scalable solutions.
- Monitor and optimize deployed solutions through A/B testing and performance analysis.
- Communicate results effectively to both technical and non-technical stakeholders.
Requirements
- 5+ years’ practical experience in data science, machine learning, or applied science roles.
- Advanced academic background (MSc or PhD) in machine learning, economics, statistics, or related fields, with a solid understanding of software engineering.
- Deep statistical knowledge and experience with experimental design.
- Proven experience developing and deploying ML algorithms in production environments at scale.
- Strong communication skills to present findings and collaborate effectively.
- Technical expertise in Python, SQL, and Cloud computing services.
Nice to have
- Strong NLP/NLG background including modern AI architectures, large language models, and foundation models for text summarization.
- Proven experience developing and deploying NLP algorithms in production environments at scale.
Culture & Benefits
- Prioritized personal development with personalized coaching, workshops, educational meetups, conferences, and free online learning courses.
- Visa support and a relocation package, including an interest-free newcomer loan.
- Self-determined vacation (minimum 25 days), flexible working hours, and 2 WFH days weekly.
- Opportunity to work remotely for 20 days abroad annually.
- Daily canteen budget, complimentary snacks and drinks, on-site gym, and sports classes.
Hiring process
- Video introduction.
- Introduction Call with team lead.
- Case Study.
- Technical Interview with case study presentation.
- Interview with Stakeholders.
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