Data Scientist

What you’ll do

• 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

What we’re looking for

• 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

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, etc.

Bonus Points

• 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

What we offer

• 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

• Hybrid (minimum three days in the office)