Clara is the leading platform in Latin America for companies to execute and manage every payment operation. More than 50,000 leading and fast-growing businesses run on our corporate cards, bill pay, financing and B2B payments, and in 2025 the Financial Times named Clara the region’s fastest-growing company. We’re passionate about helping every company we work with become more effective—and, through that, raising the region’s competitiveness. We’re ~400 people, backed by Notable Capital, Coatue, Kaszek, monashees, DST Global, ICONIQ, General Catalyst and Goldman Sachs, among others. We are looking for someone who will: * Build, integrate and maintain machine learning models in a development environment * High level of business understanding to tackle any problem with the best possible approach * Create simple but very informative visualizations to explain your work for a broad audience * Identify data requirements and needs along with the data engineering team * Be able to collaborate with teams remotely, not only locally * Conduct data analysis to support business decisions. * Collaborate with data engineers to ensure data availability. * Collaborate with our data engineering team to implement solutions to meet the company’s goals * Document your work to have a solid foundation of it for new team members or future reference * Experience delivering end to end solutions for business teams Requirements: * 3+ years of experience as a Data Scientist Proficiency in SQL, Python, and Git. * Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow). * Experience with object-oriented programming (OOP). * Familiarity with AWS and Databricks. * Understanding of data science best practices. * Ability to say 'I don't know' and willingness to research and find solutions. * Good english level. Preferred Qualifications: * Experience with Corporate Bill Pay and Spend Management: Familiarity with corporate bill pay, credit card, and spend management products. * Data Visualization Tools: Experience with data visualization tools such as Metabase, QuickSight, and Databricks. * Programming Skills: Proficiency in SQL, Python, and/or R for data analysis and modeling. * A/B Testing and Experimentation: Experience designing and analyzing A/B tests to drive product decisions. * Regulatory Compliance: Understanding of regulatory requirements and compliance standards in the financial sector, especially those relevant to Latin America. Where we work This is a hybrid role: you'll split your time between the office, customers and home. We don't set a minimum number of office days for most roles — you'll spend time in the office naturally, and most days during your ramp-up or when your leader asks. WHY CLARA * A high talent-density team driven to make an impact in Latin America — low ego, high ownership. * Competitive salary and stock options (ESOP) from day one. * An annual learning budget and accelerated development paths. * English is our working language, with Spanish and Portuguese every day. HOW WE WORK * Clarity — Open and direct communication: we say what we mean and give context where it matters. * Simplicity — If it can be simpler, it should be. * Ownership — We own everything we do, end to end. When something needs to happen, we don't wait. * Pride — We hold ourselves to a high standard, and it shows in what we deliver. * ABC (Always Be Changing) — We adapt fast, embrace change, and keep learning. * Inclusivity — Diverse ideas, stories and perspectives build a better Clara. If you meet the must-haves, apply — the nice-to-haves are a bonus, not a requirement.

Data Scientist (Científico de Datos) - Hybrid

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