Data Scientist

Stellenbeschreibung:

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 Uber Eats & Uber home when working late

  • The most beautiful office space and work environment in Berlin

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Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    04 Nov 2025
  • Standort:

    Berlin

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