About us coderio designs and delivers scalable digital solutions for global companies. With a strong technical foundation and a product-driven mindset, our teams lead complex software projects from architecture to execution. We value autonomy, clear communication, and technical excellence. We work closely with international teams and partners, creating technology that makes a real difference. Learn more: http://coderio.com we are looking for a data scientist to join the advanced analytics team, working closely with business units to develop data-driven and machine learning solutions that create measurable impact across the company. What to expect in this role responsibilities identify and address business challenges through data-driven solutions. Develop and implement machine learning and statistical models. Design experiments to validate hypotheses and measure impact. Deploy models using mlops best practices. Communicate insights clearly to non-technical teams and stay current with new analytical methods. Requirements 5 years of experience as a data scientist strong proficiency in sql advanced knowledge in git deep expertise using gcp 5 years of experience using python advanced english (spoken and written) based in latam nice to have background in engineering, mathematics, physics, data science, or related fields experience working in cross-functional or international teams familiarity with experimental design and statistical validation methods benefits 100% remote long-term commitment with autonomy and impact strategic, high-visibility role in a modern engineering culture international collaborative team with strong technical leadership clear path for growth and leadership within coderio why join coderio? At coderio, we value talent regardless of location. We are a remote company passionate about technology, collaboration, and fair compensation. We offer an inclusive, challenging environment with real opportunities for growth. If you’re motivated to build impactful solutions, we want to meet you. Apply now. J-18808-ljbffr