
Location: Remote in Buenos Aires, Argentina
Employment type: Full-time
Posted: a year ago
Shape the future by building intelligent recommendation engines, insightful analytics dashboards, and powerful predictive models that drive strategic decisions and enhance user experiences. You'll collaborate with cross-functional teams to seamlessly integrate your data-driven innovations, lead impactful experiments, and champion the ethical application of AI, all while mentoring and elevating your fellow data professionals.
• Develop and deploy recommendation systems that provide data-driven advice and optimal courses of action.
• Build analytics-backed software and dashboards to access insights on customer behavior, transaction trends, and performance metrics.
• Create predictive models for risk assessment, customer segmentation, and merchant success analytics.
• Collaborate with product and engineering teams to ensure machine learning outputs are effectively integrated into user-facing tools.
• Lead the design of experimentation frameworks (A/B tests) for validating new data-driven features or strategies.
• Automate repetitive analytical tasks to improve team efficiency.
• Ensure the fairness, transparency, and ethical use of AI in all analytical products.
• Provide mentorship to junior data scientists and analysts on advanced modeling techniques and best practices.
• 5+ years of experience in Data Science, with exposure to analytics-driven product development.
• Proven experience in building and deploying recommendation engines, dashboards, or other user-facing analytical tools.
• Strong proficiency in Python and machine learning libraries such as MLlib, scikit-learn, TensorFlow, or PyTorch.
• Experience with MLOps tools (e.g., Vertex AI, Kubeflow) for deploying models at scale.
• Expertise in predictive modeling, cohort analysis, and customer segmentation.
• Strong SQL skills and experience working with large-scale datasets in cloud environments, specifically GCP.
• Ability to communicate complex data insights to technical and non-technical stakeholders effectively.
• Familiarity with A/B testing frameworks and experimentation.
•Fluent English.
Hello! We’re Cashea 👋, and we're on a mission to bring optimism back to Venezuelans 🇻🇪 by building innovative financial products. Since our launch in 2022, we've been dedicated to democratizing financial inclusion through cutting-edge technology. In that time, we've grown to serve over 7 million customers, developed a range of products for both consumers and merchants, and become a trusted name in Venezuela—winning both minds and hearts 💛.
Bring optimism back to Venezuelans 🇻🇪 by building innovative financial products.