Senior Data Scientist
At a glance
Senior Data Science role at Peec AI. Berlin · full-time · €100,000–€150,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build, evaluate and launch models that shape recommendations for improving customers’ visibility in AI search
- Study AI search behavior and turn useful patterns into recommendations for brands
- Guide models from early experiments into production, coordinating with engineering on system integration
- Create pipelines for collecting, preparing and analyzing large datasets
What you bring
- Strong Python backend skills, including experience building APIs, data pipelines or machine-learning infrastructure
- You can investigate how large language models behave and turn findings into product features
- You have moved projects from research into production and can handle unclear, changing problems
- You communicate technical ideas clearly to customers and stakeholders
Who this fits
This senior role suits a hands-on data scientist who can take models and data systems through to production. It is based on-site in Berlin.
From the employer
About Peec AI
Peec 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.
We 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.
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
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science€100k+
Find me workBy the team behind dataroles.