{"id":81921,"title":"Senior Data Scientist","company":"Peec AI","city":"Berlin","region":"Berlin","location":"Berlin, Berlin, Berlin, Germany","work_model":"onsite","employment_type":"full_time","employment":["full_time"],"roles":["data_science"],"visa":"not_mentioned","relocation":"not_mentioned","posted_at":"2026-06-24T14:58:26.286000+00:00","tools":["Python","FastAPI","Docker","Google Cloud","LLM","SQL","pandas","NumPy"],"seniority":"senior","years_experience_min":null,"german_requirement":"not_mentioned","german_level":"unspecified","english_requirement":"required","english_level":"unspecified","team_language":"unknown","confidence":0.4,"method":"rules","language_badge":"Not stated","language_evidence":null,"requirements_snippet":"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 …","url":"https://jobs.ashbyhq.com/peec/5bef8322-fdeb-4fe3-bf5f-9973fbbd27d0","source":"ashby","agency":null,"description_text":"About Peec AI\nPeec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win.\n\nWe are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office.\n\nWhat you’ll do\n• Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search\n• Develop algorithms that extract actionable insights from AI search behavior, creating data-driven recommendations that help brands increase their AI Search visibility\n• Own the full model lifecycle from experimentation to production deployment, working closely with engineering to integrate ML solutions into our systems\n• Design and implement data pipelines to ingest, process, and analyze large volumes of data\n\nWhat we’re looking for\n• 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)\n• Deep curiosity about how LLMs work, with the ability to reverse-engineer AI search behavior and translate patterns into actionable product features\n• 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\n• Excellent communication skills with the ability to explain complex technical concepts to customers and stakeholders\n\nOur Data Science Stack\n• Languages: Python, SQL\n• Libraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX\n• Backend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQuery\n• AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc.\n\nBonus Points\n• Contributions to open-source projects\n• Deployed side/hobby projects that we can check out\n• Presented research papers at top ML or AI conferences\n• Having started a company before or worked at a high-growth startup\n• Fluency in Typescript\n\nWhat we offer\n• Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups\n• Regular team events and off-sites\n• Aggressive equity compensation package\n• Paid Dinner & Uber home when working late\n• The most beautiful office space and work environment in Berlin","responsibilities_text":"• Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search\n• Develop algorithms that extract actionable insights from AI search behavior, creating data-driven recommendations that help brands increase their AI Search visibility\n• Own the full model lifecycle from experimentation to production deployment, working closely with engineering to integrate ML solutions into our systems\n• Design and implement data pipelines to ingest, process, and analyze large volumes of data","requirements_text":"• 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)\n• Deep curiosity about how LLMs work, with the ability to reverse-engineer AI search behavior and translate patterns into actionable product features\n• 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\n• Excellent communication skills with the ability to explain complex technical concepts to customers and stakeholders\nOur Data Science Stack\n• Languages: Python, SQL\n• Libraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX\n• Backend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQuery\n• AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc.\n• Contributions to open-source projects\n• Deployed side/hobby projects that we can check out\n• Presented research papers at top ML or AI conferences\n• Having started a company before or worked at a high-growth startup\n• Fluency in Typescript","status":"open","duplicate_of":null,"first_seen":"2026-11-04T00:19:16.923797+00:00","responsibilities_summary":null,"requirements_summary":null,"all_tools":["Python","FastAPI","Docker","Google Cloud","LLM","SQL","pandas","NumPy","Hugging Face","PyTorch","TensorFlow","ONNX","PostgreSQL","BigQuery","OpenAI API","TypeScript"],"posting_language":"en","evidence":[],"years_experience_max":null,"mobility_evidence":[],"model_version":"rules-8","english_badge":"English required","company_id":2327}