Fractional Job: Seeking ‘Data Scientist’ for [Redacted] DeSci & RWA University Cybersecurity Project to Revolutionise Threat Detection

Post By: PIPE Associate Network

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💼
Job Type

Fractional

💰
Pay

200 Sweat Equity or Tokens
per HOUR

📍
Location

Remote

📍
Hiring In

Worldwide

⏰
Deadline

August 30, 2025

About PIPE Associate Network

Job Breakdown

Job Description

Are you a visionary Data Scientist ready to revolutionize cybersecurity with cutting-edge AI and decentralized models? Join a university-born DeSci startup backed by PIPE gDAO to help protect critical application infrastructures worldwide.

This fractional job offers flexible work arrangements, enabling you to contribute your skills while pursuing other projects or studies. You’ll collaborate with interdisciplinary teams on groundbreaking AI models designed to detect and neutralize threats in real time.

This project, backed by The PIPE gDAO, is entering the final stages of development and promises a unique career adventure.

With the full project details available only after NDA-signing via The PIPE Platform, what we can disclose now is that it’s all about leveraging AI/ML in cutting-edge cybersecurity for threat detection.

Your expertise will directly help protect critical application infrastructures worldwide.

 

How The Project is Being Supported:

  • Funding: The startup is funded through The PIPE gDAO, using USDC Stablecoin from a global investor community focused on Real-World Assets (RWA), DeFi, and DeSci, bypassing traditional VC models. These investors are committed to solving real-world problems often overlooked by traditional venture capital.
  • Vetting: The project is vetted by The PIPE Platform using NASA-grade Technology Readiness Levels (TRL) and their QED Process (Question, Evaluate, Decide), helping academic innovators with solid tech ideas but lacking business acumen to turn ideas into market-ready solutions.
  • Recruitment: As a PIPE Associate, you’ll be part of a global network of experts contributing their skills in return for pre-IPO sweat equity and tokens—a unique opportunity to share in the success of this venture.


Key Responsibilities:

  • Design and implement AI-driven models for cybersecurity threat detection and risk mitigation.
  • Develop and optimise algorithms to detect unusual activity patterns across large data
  • sets in real-time.
  • Collaborate with cybersecurity and application infrastructure teams to improve system resilience and reduce false positives.
  • Deploy and scale machine learning solutions that can adapt to rapidly evolving cybersecurity threats.

 

See Project’s Disclosure on PIPE gDAO Launchpad
https://launchpad.thepipegdao.io/project….

 

How to Apply?

  • Click Apply for Job button above.
  • Fill in the whole form.
  • When you reach Join The Pan, toggle the dropdown to “Yes”.
  • Write your skills.
  • If you were referred by an Arubaito Partner, select their name from the dropdown.
  • Complete the rest of form and press the Submit button at the bottom.
  • The PIPE Company will contact you to confirm your details.

 

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