Ready to accelerate your career? Clara is the fastest-growing company in Latin America. We've built the leading solution for companies to make and manage all their payments. We already help over 20,000 large and growing businesses operate with agility and financial clarity through locally issued corporate cards, bill pay, financing, and a powerful B2B platform built for scale. Clara is backed by some of the most successful investors in the world, including top regional VCs like monashees, Kaszek, and Canary, and leading global funds like Notable Capital, Coatue, DST Global Partners, ICONIQ Growth, General Catalyst, Citi Ventures, SV Angel, Citius, Endeavor Catalyst, and Goldman Sachs— in addition to dozens of angel investors and local family offices. We’re building the financial infrastructure that powers high-performing organizations across the region. We invite you to join us if you want to be part of a fast‑paced environment that will accelerate your career and support you to do some of the best work of your life alongside a passionate and committed team distributed across the Americas. Responsibilities 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 references Requirements 1+ 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. What we offer Competitive salary and stock options (ESOP ) from day one Multicultural team with daily exposure to Portuguese, Spanish, and English (our corporate language) Annual learning budget and internal accelerated development paths High-ownership environment: we move fast, learn fast, and raise the bar — together Smart, ambitious teammates — low ego, high impact Flexible vacation and hybrid work model focused on results #J-18808-Ljbffr