Usamos cookies técnicas y el registro de visitas anonimizado de Zorky. Yandex Metrica (los datos se guardan en servidores en Rusia) solo se activa con tu consentimiento. Nunca vendemos datos. Más sobre cookies y estadísticas.
Zorky está en modo de prueba: todo es gratis. Los empleos y las páginas de empresas están abiertos a todos; los enlaces a las ofertas y tu selección personal se abren tras registrarte. Regístrate →
← Todos los empleos

Data Scientist

Middlehybridhace 2 sem.
Análisis del mercado
📊 AI / ML / Data Science: salarios y demanda en el mercado
Stack
airflowbigqueryclouddagsterfine-tuninggcpkafkalangchainlightgbmllamaindex
Detalles
Experiencia
3+ años
Mostrar empresa y enlace
Gratis, tras iniciar sesión.
Postular
Sube tu CV: empleadores y reclutadores de distintos países que buscan tu perfil podrán contactarte directamente.
Enviar tu CV →
Descripción

At myPOS, we’re all about helping businesses grow and get paid. We make payments simple, smart, and accessible for everyone, but we’re more than just payment solutions - myPOS is a partner in growth. From free multicurrency accounts to powerful e-commerce tools, we’re here to support business owners of all sizes and everyone out there who dreams of starting their own business.

As we are expanding our team, we’re looking for Data Scientist to help us make a real difference in the Fintech industry. Ready to join us and shape the future of payments? Let’s make it happen!

About the role

myPOS is building a high-impact Data Science function to power the intelligence layer of one of Europe’s fastest-growing payment and commerce platforms. As a Data Scientist, you will contribute to a focused team working across a rich portfolio of models that drive smarter decisions in Sales, Marketing, Risk, Operations, Product and Technology. You will move fluidly across problem types: from customer lifetime value and churn modelling to fraud scoring and agentic AI workflows.

What you’ll do: Build and maintain ML models across the core portfolio: CLTV, churn prediction, propensity to buy, and Next Most Likely Product (NMLP) Develop fraud detection models including transaction-level classifiers, merchant behaviour anomaly detectors, and new-account risk scorers Contribute scored model outputs to the Next Best Action (NBA) decisioning layer that selects the optimal action for each merchant across

Descripción completa, empresa y enlace para postular: después de iniciar sesión. Iniciar sesión
Los contactos del empleador (correo/teléfono/telegram) están ocultos en la vista previa pública. Envía tu CV para que los empleadores puedan contactarte directamente.
Denunciar esta oferta
¿Pregunta urgente? Escribe a @termdocs