A computational solutions developer designs, implements, and optimizes software solutions to solve complex computational problems. They apply advanced mathematical and computing techniques to create efficient algorithms and data structures. Their work involves understanding problem requirements, devising computational strategies, coding, debugging, and testing. They also ensure that solutions scale well with increasing data sizes and work seamlessly across distributed computing environments. They work in diverse fields, such as scientific research, finance, and technology, where they tackle challenges like data analysis, machine learning, simulation, optimization, and cryptography. They require strong skills in mathematics, computer science, and specific programming languages.