Teams at DEUNA

Own the end-to-end data science lifecycle for payment optimization, including feature generation, model development, tuning, validation, experimentation, and deployment. Build experimentation frameworks to measure conversion, declines, fraud, and merchant impact. Collaborate with data engineering, BI, infrastructure, and product teams to develop scalable pipelines and models. This role establishes DEUNA’s data science practice and may develop into people leadership.

Lead a team of AI/ML, backend, and platform engineers building payment-routing optimization and LLM-powered products. Guide ML lifecycle and AI workflow architecture, oversee low-latency inference services, and maintain AWS, CI/CD, observability, and PCI-DSS standards. Own delivery planning, technical quality, hiring, coaching, and team development while partnering with product, operations, modeling leadership, and executives.

Build and maintain payment connectors and web/mobile applications, collaborate with designers and developers, implement new features, troubleshoot and optimize existing systems, adopt new technologies, and deliver high-quality solutions within an Agile team focused on ecommerce and payments integrations.