Hiring a Large-Scale Distributed Algorithms developer brings significant advantages to an organization, particularly those dealing with massive amounts of data. These developers are adept at designing and implementing algorithms that can process, analyze, and manage data across multiple machines efficiently, ensuring optimal data utilization and minimizing computation time.

One key advantage is the ability to handle big data. With the exponential growth of digital data, it's crucial for companies to process and analyze large datasets effectively. These developers are skilled in creating systems that can handle this scale, enabling your organization to extract valuable insights from extensive data.

Secondly, they ensure enhanced system performance. By distributing the computational load across several machines, they prevent any single point of failure, thereby increasing system reliability and ensuring continuous service.

Lastly, these developers can deliver cost-effective solutions. Distributed computing can be less expensive than traditional computing, as it utilizes less powerful, and therefore cheaper, machines to perform tasks collectively.

Moreover, they can also help in improving the scalability of your systems. As your business grows, you can simply add more machines into the network without having to overhaul the entire system.

In conclusion, a Large-Scale Distributed Algorithms developer can provide valuable expertise in managing and leveraging your data, improving system performance, and providing scalable and cost-effective solutions.