Data Scientist (Científico de Datos) - Hybrid

<div class="content-intro"><p><strong>Clara is the leading platform in Latin America for companies to execute and manage every payment operation.</strong> 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.</p></div><p><strong>We are looking for someone who will: </strong></p> <ul> <li>Build, integrate and maintain machine learning models in a development environment</li> <li>High level of business understanding to tackle any problem with the best possible approach</li> <li>Create simple but very informative visualizations to explain your work for a broad audience</li> <li>Identify data requirements and needs along with the data engineering team</li> <li>Be able to collaborate with teams remotely, not only locally</li> <li data-stringify-indent="0" data-stringify-border="0">Conduct data analysis to support business decisions.</li> <li data-stringify-indent="0" data-stringify-border="0">Collaborate with data engineers to ensure data availability.</li> <li>Collaborate with our data engineering team to implement solutions to meet the company’s goals</li> <li>Document your work to have a solid foundation of it for new team members or future reference</li> <li>Experience delivering end to end solutions for business teams</li> </ul> <div class="p-rich_text_section"><strong data-stringify-type="bold">Requirements:</strong></div> <ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"> <li data-stringify-indent="0" data-stringify-border="0">3+ years of experience as a Data Scientist<br>Proficiency in SQL, Python, and Git.</li> <li data-stringify-indent="0" data-stringify-border="0">Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow).</li> <li data-stringify-indent="0" data-stringify-border="0">Experience with object-oriented programming (OOP).</li> <li data-stringify-indent="0" data-stringify-border="0">Familiarity with AWS and Databricks.</li> <li data-stringify-indent="0" data-stringify-border="0">Understanding of data science best practices.</li> <li data-stringify-indent="0" data-stringify-border="0">Ability to say 'I don't know' and willingness to research and find solutions.</li> <li data-stringify-indent="0" data-stringify-border="0">Good english level. </li> </ul> <div class="p-rich_text_section"><strong data-stringify-type="bold">Preferred Qualifications:</strong></div> <ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"> <li data-stringify-indent="0" data-stringify-border="0"><strong data-stringify-type="bold">Experience with Corporate Bill Pay and Spend Management:</strong> Familiarity with corporate bill pay, credit card, and spend management products.</li> <li data-stringify-indent="0" data-stringify-border="0"><strong data-stringify-type="bold">Data Visualization Tools:</strong> Experience with data visualization tools such as Metabase, QuickSight, and Databricks.</li> <li data-stringify-indent="0" data-stringify-border="0"><strong data-stringify-type="bold">Programming Skills:</strong> Proficiency in SQL, Python, and/or R for data analysis and modeling.</li> <li data-stringify-indent="0" data-stringify-border="0"><strong data-stringify-type="bold">A/B Testing and Experimentation:</strong> Experience designing and analyzing A/B tests to drive product decisions.</li> <li data-stringify-indent="0" data-stringify-border="0"><strong data-stringify-type="bold">Regulatory Compliance:</strong> Understanding of regulatory requirements and compliance standards in the financial sector, especially those relevant to Latin America.</li> </ul> <p> </p> <p><strong>Where we work</strong></p> <p>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.</p><div class="content-conclusion"><h2>Why Clara</h2> <ul> <li><strong>A high talent-density team</strong> driven to make an impact in Latin America — low ego, high ownership.</li> <li>Competitive salary and stock options (ESOP) from day one.</li> <li>An annual learning budget and accelerated development paths.</li> <li>English is our working language, with Spanish and Portuguese every day.</li> </ul> <h2>How we work</h2> <ul> <li><strong>Clarity</strong> — Open and direct communication: we say what we mean and give context where it matters.</li> <li><strong>Simplicity</strong> — If it can be simpler, it should be.</li> <li><strong>Ownership</strong> — We own everything we do, end to end. When something needs to happen, we don't wait.</li> <li><strong>Pr