Data Scientist
Peec AI
Berlin, Germany
2 months ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
€ 150KJob location
Berlin, Germany
Tech stack
API
Artificial Intelligence
Big Data
Google BigQuery
Cloud Computing
Python
PostgreSQL
NumPy
Open Source Technology
TensorFlow
SQL Databases
TypeScript
PyTorch
Large Language Models
Backend
FastAPI
Pandas
HuggingFace
Data Pipelines
Docker
Job description
- 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, * 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
Requirements
Do you have experience in TypeScript?, * 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
Benefits & conditions
- 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 Uber Eats & Uber home when working late
- The most beautiful office space and work environment in Berlin
Compensation Range: €100K - €150K If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.