Senior Data Scientist
Berlin · Berlin, Germany
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Location type: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Engineering — team source
Department: Engineering
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Would you need visa sponsorship?
From the employer’s application form
What you’ll work on
Full postingTrain, test, and ship models that power Peec AI's recommendations
Develop algorithms that turn AI search behavior into actionable insights
Own the full model lifecycle from experimentation to production
Design and implement data pipelines for large volumes of data
From the employer’s posting
Train, test, and ship models that power Peec AI’s recommendations
Develop algorithms that extract actionable insights from AI search behavior
Own the full model lifecycle from experimentation to production deployment
Design and implement data pipelines to ingest, process, and analyze large volumes of data
What you’ll bring
All qualificationsCore experience
- Proven backend development skills in Python, including APIs and data pipelines
- Track record of taking projects from research to production
- Familiarity with FastAPI, Docker, and cloud platforms (preferably GCP)
- Deep curiosity about how LLMs work and AI search behavior
- Excellent communication skills for explaining technical concepts
Qualification wording
Proven backend development skills in Python with experience building APIs, data pipelines, or ML infrastructure
Track record of taking projects from research to production in a fast-moving startup environment
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
Excellent communication skills with the ability to explain complex technical concepts to customers and stakeholders
Tools in this posting
- Python
- SQL
- TypeScript
- BigQuery
- Docker
- GCP
- FastAPI
- Hugging Face
- NumPy
- pandas
- PyTorch
- TensorFlow
- PostgreSQL
Source — Tool mentions in context
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
Our Data Science Stack - Languages: Python, SQL - Libraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX
- Having started a company before or worked at a high-growth startup - Fluency in Typescript What we offer
- Libraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX - Backend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQuery - AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc.
- Languages: Python, SQL - Libraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX - Backend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQuery
About Peec AI
Peec AI is the analytics platform for AI search.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an errorOpen 4 monthsWe first saw this posting 126 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 26, 2026 · 126 days ago
- Recorded sightings
- 88
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Jun 24, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
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
Source details
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- Location & working pattern
Berlin, Germany
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