Engineering Manager (Data Science)

Peec AI; Berlin; Hybrid; EUR 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Aggressive equity compensation

Paid Uber Eats & Uber Home for late work

Regular team events

Beautiful office space in Berlin

Regular team events

Zusammenfassung

A leading technology startup in Berlin seeks an experienced data science leader to build and manage a high-caliber data science team. You will be responsible for designing and deploying critical machine learning models, architecting scalable data systems, and mentoring team members. The ideal candidate has over 8 years of data science experience, exceptional Python skills, and a proven track record of leading impactful ML projects. This hybrid role offers a competitive equity compensation package and an engaging work environment.

Qualifikationen

• 8+ years in data science, 3+ years in a leadership role.
• Proven ability to own and scale ML systems.
• Exceptional coding standards and production-grade code review.

Aufgaben

• Build, mentor, and lead a data science team.
• Own and develop ML models and algorithms.
• Architect scalable data and ML systems.
• Own end-to-end ML lifecycle from research to production and monitoring.
• Architect scalable ML systems and data pipelines.
• Write production-grade code and set technical standards.

Kenntnisse

Data science leadership

Machine learning

Python

Communication

Problem-solving

Team mentoring

Tools

GCP

FastAPI

Docker

Pandas

TensorFlow

Jobbeschreibung

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 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)