Project
PIPE Associate Network
Fractional Job: Seeking ‘Data Scientist’ for [Redacted] DeSci & RWA University Cybersecurity Project to Revolutionise Threat Detection
Links
Their Why:
” Empowering People to Empower the People “
Proof of Authenticity
Coming Soon
Smoothie Rating
Coming Soon
DEXT Score
Coming Soon
Job Type
Fractional
Pay
200 Sweat Equity or Tokens
per HOUR
Location
Remote
Hiring In
Worldwide
Deadline
August 30, 2025
About PIPE Associate Network
Solution
The PIPE Associate Network is a collaborative system that unites experts across various fields to contribute to innovative projects through sweat equity. It leverages a decentralised structure to pool knowledge, skills, and resources, ensuring that projects receive comprehensive support from inception to completion. This network fosters a community of dedicated professionals who work together to develop groundbreaking technologies and solutions, driving forward the mission of PIPE gDAO and The PIPE Company.
Mission
The PIPE gDAO and The PIPE Company aim to create a decentralized and inclusive ecosystem that democratises venture funding and disintermediates traditional financial models. By bridging the gap between academic innovation and retail investors, they empower groundbreaking projects to thrive. The PIPE Associate Network plays a crucial role in this mission, bringing together a diverse group of experts who contribute their knowledge and skills through sweat equity. This collaborative approach ensures that projects receive the necessary support to succeed, fostering a more equitable distribution of opportunities and resources in the venture funding landscape.
Awards & Achievements
Received ‘Seal Of Excellence’ from European Commission – Horizon Europe EIC
Job Breakdown
Pay
Up to $200 per Hour
Soft Skills
Hard Skills
Strong problem-solving mindset and innovative thinking. Effective communicator capable of working across diverse, remote teams. Adaptability and ability to thrive in a fast-paced, dynamic startup environment.
Expertise in Python, R, TensorFlow, PyTorch or similar machine learning libraries. Experience with cybersecurity frameworks and understanding of threat modeling. Proficiency in data engineering and big data analytics—working with large-scale data sets. Knowledge of cloud computing environments (AWS, Azure, Google Cloud).
Qualifications
Experience
Master’s or Ph.D. in Data Science, AI, Cybersecurity, Computer Science, or a related field. Experience with real-time data processing for security use cases. Hands-on experience with AI/ML model deployment and scaling.
3-5 years of experience in AI/ML with a focus on cybersecurity or related fields. Prior exposure to startup environments and familiarity with decentralized funding models. Background in Web3 technologies and blockchain is a plus.
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…. |
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How to Apply?
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