.Clara is the leading spend management platform for companies in Latin America. Our end-to-end solution includes our locally-issued corporate cards, a Bill Pay product, financing solutions, and our highly-rated software platform; already being used by thousands of the most successful companies across the region.Clara is backed by top global and regional investors such as GGV Capital, Coatue, DST Global Partners, General Catalyst, monashees, Acrew Capital, Kaszek, Citius, Canary, Citi Ventures, Picus Capital, Avid Ventures, ICONIQ Growth, Endeavor Catalyst, Goldman Sachs, Accial Capital, and prominent angel investors.We are looking for someone who will:Build, integrate and maintain machine learning models in a development environmentHigh level of business understanding to tackle any problem with the best possible approachCreate simple but very informative visualizations to explain your work for a broad audienceIdentify data requirements and needs along with the data engineering teamBe able to collaborate with teams remotely, not only locallyConduct 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 goalsDocument your work to have a solid foundation of it for new team members or future referencesRequirements: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.Preferred Qualifications:Country-Specific Market Knowledge:Knowledge of the product market in Mexico, Colombia, and Brazil, including user behavior and regulatory environments.Experience with Corporate Bill Pay and Spend Management:Familiarity with corporate bill pay, credit card, and spend management products.Mobile and Web Analytics:Proficiency in analyzing data from both mobile and web platforms, understanding user behaviors, and optimizing the user experience.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.User Research and Feedback Analysis:Ability to incorporate user research and feedback into data analysis to improve product offerings.Regulatory Compliance:Understanding of regulatory requirements and compliance standards in the financial sector, especially those relevant to Latin America.The way we do things is as important as what we do. That is why we operate on a set of carefully-identified values. They are what we expect from ourselves and each other in our day-to-day