Data Scientist

Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search

Develop algorithms that extract actionable insights from AI search behavior, creating data-driven recommendations that help brands increase their AI Search visibility

Own the full model lifecycle from experimentation to production deployment, working closely with engineering to integrate ML solutions into our systems

Design and implement data pipelines to ingest, process, and analyze large volumes of data

Proven backend development skills in Python with experience building APIs, data pipelines, or ML infrastructure, and familiarity with tools like FastAPI, Docker, and cloud platforms (preferably GCP)

Deep curiosity about how LLMs work, with the ability to reverse-engineer AI search behavior and translate patterns into actionable product features

Track record of taking projects from research to production in a fast-moving startup environment, with strong problem-solving skills and comfort working with ambiguous, evolving problems

Excellent communication skills with the ability to explain complex technical concepts to customers and stakeholders

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, etc.

Contributions to open-source projects

Deployed side/hobby projects that we can check out

Presented research papers at top ML or AI conferences

Having started a company before or worked at a high-growth startup

Fluency in Typescript

Exciting and challenging work 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 Dinner & Uber home when working late

The most beautiful office space and work environment in Berlin