Data Scientist

Job not on LinkedIn

🕒 May 18

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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decircle

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2019

📣 Marketing

📦 Logistics

💼 Consulting

Marketing • Logistics • Consulting

Decircle is a talent partner specializing in staffing and recruiting for decentralized organizations and projects related to Web3. As a boutique recruitment agency, Decircle focuses on identifying and attracting talent in the blockchain and Web3 sectors, fostering connections within the community of decentralization enthusiasts and guiding them in finding their roles in the evolving decentralized landscape.

📋 Description

• Develop AI-driven financial models for risk management, liquidity prediction, and market analysis. • Work with symbolic AI, logical reasoning, and agentic AI to improve DeFi decision-making. • Collaborate with engineers and researchers on cutting-edge AI tools for finance. • Analyze and process large financial datasets, ensuring AI model accuracy and efficiency. • Adapt traditional Basel II/III risk management frameworks to DeFi environments. • Drive adoption of AI tools for financial analysis and automation.

🎯 Requirements

• Strong experience in data science, AI, or quantitative finance. • Background in financial markets, risk management, or DeFi. • Expertise in Python, TensorFlow, PyTorch, or other AI frameworks. • Familiarity with blockchain data and DeFi protocols (preferred but not required). • Ability to communicate complex data insights to cross-functional teams. • Nice to Have: Knowledge of smart contracts, blockchain analytics, and DeFi governance. • Experience in machine learning model deployment and optimization. • Prior work in quantitative trading, risk analysis, or financial AI applications.