AI & Data Science Consultant developing and implementing data and AI strategies for clients. Collaborating with teams to optimize business processes and drive data - driven decisions.
About the role
- Lead data science team for AI Search recommendations at Peec AI. Responsible for end-to-end ML lifecycle and technical leadership.
Responsibilities
- Build, mentor, and lead an elite data science team as a trusted, empathetic player-coach, while clearly communicating complex technical ideas to executives, customers, and partners
- Personally design, train, deploy, and own the models that power Peec AI’s AI Search recommendations, taking hands-on responsibility for our most business-critical ML systems
- Develop and ship novel algorithms that reverse-engineer AI search and LLM behavior, turning deep technical insight into durable, customer-facing product advantages
- Own the full ML lifecycle end-to-end — from first-principles research and rigorous experimentation to production deployment, monitoring, and continuous improvement
- Architect and evolve scalable data and ML systems, making high-leverage decisions across data pipelines, modeling approaches, evaluation frameworks, and model serving
- Write and review production-grade code at an exceptional standard, setting the technical bar for the entire organization
Requirements
- 8+ years of professional data science experience, with at least 3+ years in a leadership or managerial role at a top-tier high growth startup, or FAANG level tech company (e.g., Tech Lead, EM, SDM)
- A world-class data science leader with a rare combination of deep technical mastery and proven leadership, who has built and shipped category-defining ML products in high-growth or frontier environments
- A demonstrable history of personally owning and scaling complex ML systems from raw research ideas to reliable, high-impact production deployments
- Exceptional command of Python and applied machine learning, with strong systems-level instincts spanning APIs, data pipelines, ML infrastructure, and production reliability
- A deep, first-principles understanding of LLMs and AI search systems, including the ability to rigorously evaluate, reverse-engineer, and reason about emergent model behavior
- Experience making consequential architectural and modeling decisions in cloud-native environments (preferably GCP), using tools like FastAPI, Docker, and modern data platforms
- Outstanding judgment, communication, and problem-solving ability, with the credibility to set direction, earn trust, and lead through extreme ambiguity.
Benefits
- A defining leadership role with with real impact and ownership at one of Europe’s fastest-growing Series A startups
- Regular team events and off-sites
- Aggressive equity compensation package
- Paid Uber Eats & Uber home when working late
- The most beautiful office space and work environment in Berlin
- Hybrid (minimum three days in the office)
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