Applied Research Scientist

Peec AI; Berlin; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Benefits dieser Stelle

Equity compensation package

Paid dinner & Uber home when working late

Team events and off-sites

Beautiful office space

Zusammenfassung

Peec AI in Berlin is looking for a talented data scientist to develop and optimize models that enhance customer visibility in AI search. You will work on algorithms that predict consumer behavior and collaborate with engineering teams to put models into production.

The ideal candidate has strong statistical foundations and a deep curiosity for how AI works. In return, we offer competitive equity compensation and a unique work environment in one of Europe’s fastest-growing startups.

Qualifikationen

• Strong foundation in statistical modeling and quantitative analysis.
• Familiarity with key Python libraries for data analysis.
• Experience with NLP techniques is preferred.

Aufgaben

• Train and develop AI models for consumer visibility in search.
• Work with engineering to deploy models into production.
• Analyze data to extract insights on consumer behavior.

Kenntnisse

Statistical modeling

Hypothesis testing

Causal inference

Python

SQL

NLP techniques

Communication skills

Tools

Pandas

NumPy

TensorFlow

PyTorch

GCP

Jobbeschreibung

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