Datarisk
Artificial Intelligence • SaaS • Fintech
Datarisk is a data science and AI company that provides an MLOps platform, Model-as-a-Service (MaaS), credit-scoring solutions and AI agents to help organizations train, deploy and monitor machine learning models. It focuses on improving decision-making and risk management for financial institutions, fintechs and enterprises across sectors (marketing, supply chain, people analytics, retail and healthcare) by delivering cloud-hosted predictive models, specialized credit scores and consulting services. Datarisk positions itself as a B2B SaaS provider of machine learning and AI-driven products and services.
Data Scientist, Mid-level
Job not on LinkedIn
November 25
🗣️🇧🇷🇵🇹 Portuguese Required
Datarisk
Artificial Intelligence • SaaS • Fintech
Datarisk is a data science and AI company that provides an MLOps platform, Model-as-a-Service (MaaS), credit-scoring solutions and AI agents to help organizations train, deploy and monitor machine learning models. It focuses on improving decision-making and risk management for financial institutions, fintechs and enterprises across sectors (marketing, supply chain, people analytics, retail and healthcare) by delivering cloud-hosted predictive models, specialized credit scores and consulting services. Datarisk positions itself as a B2B SaaS provider of machine learning and AI-driven products and services.
📋 Description
• Work on building predictive models; • Develop solutions to delight customers and drive business results.
🎯 Requirements
• Experience creating and productionizing predictive models; • Proficiency in Python & PySpark; • Proficiency in SQL; • Interest in researching new algorithms and technical solutions applicable to our business; • Experience with credit/collections/fraud models is a plus; • Experience with AWS/Azure is a plus; • Experience in the financial sector is a plus; • Master’s or PhD is a plus.
🏖️ Benefits
• Flexibility! Our team is remote — you can work from anywhere; • Bradesco health and dental insurance; • Wellhub (formerly Gympass); • Conexa Saúde & Psicologia Viva (telehealth and mental health services); • Corporate partnership with Open English (discounts on English & Spanish courses); • Caju: home office allowance; • Paid time off of 22 business days per year; • Birthday day off; • Hiring model: PJ (contractor).
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