Director Data Science

Reposted 8 Days Ago
Be an Early Applicant
Berlin
In-Office
Senior level
Software
The Role
Lead and mentor a data science team, design and deploy ML models, develop algorithms, oversee ML lifecycle, and ensure production reliability.
Summary Generated by Built In
What you’ll do
  • 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

What we’re looking for
  • 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

Our Data Science Stack
  • Languages: Python, SQL

  • Libraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX

  • Backend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQuery

  • AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, and others

Bonus Points
  • Widely recognized contributions to open-source projects or foundational ML tooling

  • Publicly visible side or research projects demonstrating exceptional technical depth

  • Publications or talks at top-tier ML or AI conferences

  • Founder experience or senior technical leadership in high-growth startups

  • Fluency in TypeScript

What we offer
  • 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)

Top Skills

Alloydb
BigQuery
Docker
Fastapi
GCP
Huggingface
Numpy
Onnx
Pandas
Postgres
Python
PyTorch
SQL
TensorFlow
Am I A Good Fit?
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The Company
30 Employees
Year Founded: 2025

What We Do

Enabling companies to analyse and improve their visibility in AI search results.

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