Join Prior Labs Who We Are: Prior Labs is building breakthrough foundation models that understand spreadsheets and databases—the backbone of science and business. Foundation models have transformed text and images, but structured data has remained largely untouched. We’re tackling this $100B opportunity to revolutionize how we approach scientific discovery, medical research, financial modeling, and business intelligence. Our Impact: We aim to be the world-leading organization working on structured data. Our TabPFN v2 model, recently published in Nature, sets the new state-of-the-art for small structured data. Our models have gained significant traction with 1M downloads and 2,500 GitHub stars. We are now building the next generation of models that combine AI advancements with specialized architectures for structured data. Backing and Momentum: With €9M in pre-seed funding from top-tier investors including Balderton Capital, XTX Ventures, and Hector Foundation—and support from leaders at Hugging Face, DeepMind, and Silo AI—we’re moving rapidly toward commercialization. About The Role You'll be among the first data scientists working with an entirely new class of AI models. Our latest breakthrough (TabPFN) outperforms all existing approaches by orders of magnitude - and we're just getting started. This is a rare opportunity to: Work on fundamental breakthroughs in AI, not just incremental improvements Shape the future of how organizations worldwide work with their most valuable data Join at the perfect time: We just received significant funding (announcement coming soon), have strong early traction (100K downloads), and are scaling rapidly As our Founding Data Scientists, you'll be the critical link between our breakthrough technology and real-world applications. As a super-user of our foundation models, you'll deeply understand our technology's capabilities, demonstrate compelling use cases, and help shape our product roadmap. This role goes beyond traditional data science - it's an opportunity to grow into a leadership position while driving the future of enterprise AI. You'll have the freedom to focus on areas where you create the most value, whether that's technical innovation, product development, or business growth. In this multifaceted role, you'll wear several hats and connect different aspects of our business. Here's how you'll drive impact across key areas: Product Development Shape our product strategy and roadmap Transform community feedback into product improvements Collaborate on product documentation and guides Provide technical feedback to our research team Applied Data Science Work with customers to identify high-impact use cases Build proof-of-concepts for enterprise clients Develop reusable templates and workflows Conduct competitive benchmarking against existing solutions Create reproducible notebooks and analysis workflows Business Development & Customer Success Work directly with customers to understand their needs Support sales processes with technical expertise Help identify and develop sales channels Transform customer feedback into product requirements Support customer onboarding and implementation Community & Education Design and conduct technical workshops and webinars Create educational content and tutorials Write technical blog posts and documentation Support community members in implementing solutions Build relationships with key community members What We're Looking For You're an experienced data scientist who understands both the technical and business aspects of enterprise AI adoption. You can translate between business needs and technical solutions, and you're excited about helping organizations transform how they work with data. You are also excited about working with the data science community in identifying and shaping product features, pain points and use cases. PhD or Masters in Computer Science, Applied Mathematics, Statistics, Electrical Engineering, or a related field 3 years experience building ML/AI solutions in industry Deep expertise in Python and the data science ecosystem Strong software engineering practices and system design Experience building data science tools or platforms Track record of shipping production ML code History of working with business stakeholders What Makes You Special Technical Focus: Contributions to data science tools or libraries Participation in Data Science Competitions and Kaggle Experience with AutoML or ML platforms Strong background in ML infrastructure Open source project experience Deep knowledge of ML deployment patterns Business Experience: Background in technical consulting or solutions engineering Experience translating business requirements into technical solutions Understanding of enterprise ML needs Track record of successful stakeholder management Location Offices in Freiburg, Germany - a university city at the edge of the Black Forest, Switzerland and France, and Berlin—a global tech hub and one of Europe’s most dynamic cities Benefits Competitive compensation package with meaningful equity (€ 70K - 120K, open to negotiation equity) 30 days of paid vacation public holidays Comprehensive benefits including healthcare, transportation, and fitness Work with state-of-the-art ML architecture, substantial compute resources and with a world-class team