Lead and support Business Development Managers to achieve company sales targets through strategic planning. Identify new growth opportunities and provide regular performance reports to senior management.
myPOS
10 Remote Job Openings at myPOS
Act as the primary point of contact for Portuguese-speaking merchants via chat, email, and phone to resolve account and payment issues. Collaborate with internal specialist teams to advocate for customers and provide feedback for product improvement.
Act as the primary point of contact for French-speaking merchants via chat, email, and phone to resolve account and payment issues. Collaborate with internal specialist teams to advocate for customers and improve platform services based on user feedback.
Design, build, and operate scalable data pipelines and infrastructure to ensure high-quality data for analytics and data science. This includes implementing MLOps automation and optimizing workflows for performance and cost.
Design, build, and operate scalable data pipelines and infrastructure to ensure high-quality data for analytics and data science. This includes implementing MLOps automation and optimizing workflows for performance and cost.
Lead the end-to-end delivery of complex modelling programmes including CLTV, churn prediction, and fraud detection. Architect real-time decisioning engines and agentic AI systems to drive commercial value and set technical standards for the data science team.
Design and build production-grade AI/ML systems, including agentic applications and MLOps infrastructure. Develop MCP servers and RAG architectures to power intelligent products and internal automation.
The Senior Data Scientist will own the full lifecycle of complex modelling programmes including CLTV, churn prediction, and fraud detection. They will architect real-time decisioning engines and production-grade agentic AI systems to drive commercial value.
Design, build, and operate scalable data pipelines and infrastructure to ensure high-quality data is available for analytics and data science. This includes implementing MLOps automation and optimizing workflows for performance and cost.
Design, build, and operate scalable data pipelines and infrastructure to ensure high-quality data for analytics and data science. This includes implementing MLOps automation and optimizing workflows for performance and cost.
