Data Scientist (Remote)

What you’ll doTrain, 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 forProven 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 StackLanguages: 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 PointsContributions 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 offerExciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups Aggressive equity compensation package Remote working (applicants must be located within ±3 hours of the Berlin (CET) time)