Horas de trabajo
Full time
Ubicación
Cualquier lugar
Lugar de trabajo
Remoto
Tipo de contrato
Contrato indefinido
What is Cobre, and what do we do?
Cobre is Latin America’s leading instant b2b payments platform. We solve the region’s most complex money movement challenges by building advanced financial infrastructure that enables companies to move money faster, safer, and more efficiently.
We enable instant business payments—local or international, direct or via API—all from a single platform.
Built for fintechs, PSPs, banks, and finance teams that demand speed, control, and efficiency. From real-time payments to automated treasury, we turn complex financial processes into simple experiences.
Cobre is the first platform in Colombia to enable companies to pay both banked and unbanked beneficiaries within the same payment cycle and through a single interface.
We are building the enterprise payments infrastructure of Latin America!
What we are looking for:
Join Cobre as a Data Scientist in our AI Center of Excellence, reporting to the Head of Data and Decisioning. This role is perfect for a pragmatic executor who thrives on delivering practical AI solutions. You'll democratize AI tools across Cobre, optimize internal operations, and create tangible value for our clients. We're seeking someone who embodies "done is better than perfect"– someone who can rapidly prototype, iterate, and scale AI solutions while maintaining focus on business impact.
What would you be doing:
Build Practical AI Solutions: Develop and deploy AI applications that solve real business problems, focusing on quick MVPs and iterative improvement over theoretical perfection
Democratize AI Tools: Create user-friendly interfaces using Streamlit and similar tools, making advanced analytics accessible to non-technical teams across the organization
Cross-functional Collaboration: Partner with Product, Risk, Compliance, and Operations teams to understand challenges and co-create AI-powered workflow enhancements
Rapid Prototyping: Leverage AI frameworks (LangChain, LangGraph, CrewAI, LlamaIndex) to quickly build proof-of-concepts that demonstrate value
Scale & Optimize: Design solutions with scalability in mind, ensuring they integrate seamlessly with existing infrastructure and grow with company needs
What do you need:
Experience & Education:
1–4 years in data science, analytics, or related fields
Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or related quantitative field
Proven track record delivering data projects from concept to production
Technical Skills:
Python: Solid programming for data analysis and application development
SQL: Strong database querying and management skills
AWS Cloud: General knowledge (not expert-level required)
GitHub: Version control and collaborative coding proficiency
Data Analytics: Strong foundations in statistics and data analysis
Plus Skills:
AI Frameworks: LangChain, LangGraph, CrewAI, LlamaIndex, MCP
Model Context Protocol knowledge
Streamlit experience for data app development
Mindset:
Pragmatic Executor: Ships functional solutions quickly, iterates for improvement, thinks scalability-first
Fast Learner: Absorbs technical and business knowledge rapidly
Cross-functional Collaborator: Enjoys working with diverse teams and translating between technical/business contexts
Proactive: Constantly proposes improvements without prompting
Curious & Challenger: Embraces new technologies and challenges
Communication:
Explains complex technical concepts simply
Effective with both technical and non-technical teams
Bilingual in English and Spanish (mandatory)