(Remote) Data Scientist

Antler; Remote; EUR 100.000 - 150.000; Vollzeit

Zusammenfassung

A fast-growing startup is seeking a backend developer in Berlin to train and deploy AI models, develop algorithms for actionable insights, and manage the full model lifecycle. The ideal candidate has proven skills in Python, familiarity with tools like FastAPI and Docker, and excellent problem-solving abilities. This role offers the opportunity to work remotely within ±3 hours of Berlin and comes with an aggressive equity compensation package, making it a unique opportunity in a dynamic environment.

Leistungen

Aggressive equity compensation package

Exciting and challenging work

Remote working flexibility

Qualifikationen

• Proven backend development skills in Python with experience building APIs.
• Deep curiosity about how LLMs work and the ability to reverse-engineer AI search behavior.
• Track record of projects from research to production in a fast-moving startup.
• Excellent communication skills to explain complex concepts.

Aufgaben

• Train, test, and ship models for AI recommendations.
• Develop algorithms to extract actionable insights from AI search behavior.
• Own the full model lifecycle from experimentation to production deployment.
• Design and implement data pipelines to process large volumes of data.

Kenntnisse

Backend development skills in Python

Experience building APIs

Familiarity with FastAPI

Experience with Docker

Familiarity with cloud platforms (preferably GCP)

Strong problem-solving skills

Excellent communication skills

Tools

Python

SQL

Pandas

NumPy

HuggingFace

PyTorch

TensorFlow

ONNX

Jobbeschreibung

Location

Worldwide

Employment Type

Full time

Location Type

Remote

Department

Engineering

Compensation

• €100K – €150K • Offers Equity

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 naats promoting 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 includes 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
• Aggressive equity compensation package
• Remote working (applicants must be located within ±3 hours of the Berlin (CET) time)

Compensation Range: €100K - €150K