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 insights from consumer search behavior, predict which questions people are asking and which topics are coming up. * Partner with engineering to bring your models into production * Leverage existing data pipelines and infrastructure to run experiments and validate your research at scale * Support the team's work on autonomous agentic systems that collect, verify, and structure information from across the web * Work with web-scale data - building crawlers, working with clickstream data, analyzing large-scale internet signals like URLs, keywords, and user behavior WHAT WE’RE LOOKING FOR * A deep interest in online consumer behavior * Strong statistical and quantitative foundations with experience in statistical modeling, hypothesis testing, causal inference, or Bayesian methods * 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, with strong problem-solving skills and comfort working with ambiguous, evolving problems * Familiarity with NLP techniques like ranking models, text classification, embeddings, or information retrieval * Excellent communication skills with the ability to explain complex technical concepts to 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