Junior Data Scientist

About the company

Clara is a Mexico-based fintech that provides corporate cards and AI-powered spend-management software to medium and large enterprises across Latin America.

About this role

<div class="content-intro"><h2><strong data-start="314" data-end="386">Ready to accelerate your career?</strong></h2> <div> <p data-start="563" data-end="823">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.</p> <p data-start="563" data-end="823">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.&nbsp;<br><br>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.</p> </div></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 references</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">1+ 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.&nbsp;</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>&nbsp;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>&nbsp;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>&nbsp;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>&nbsp;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>&nbsp;Understanding of regulatory requirements and compliance standards in the financial sector, especially those relevant to Latin America.</li> </ul> <p>&nbsp;</p><div class="content-conclusion"><h2 data-start="172" data-end="190"><strong data-start="172" data-end="190">Why join Clara</strong></h2> <p data-start="192" data-end="352">At Clara, you’ll have the autonomy, speed, and support to make meaningful impact — not just on your team, but on how organizations are run across Latin America.</p> <h4 data-start="354" data-end="368"><strong data-start="354" data-end="368">Who we are</strong></h4> <ul data-start="370" data-end="902"> <li data-start="370" data-end="446"> <p data-start="372" data-end="446">We’re the leading <strong data-start="390" data-end="426">B2B fintech for spend management</strong> in Latin America.</p> </li> <li data-start="447" data-end="568"> <p data-start="449" data-end="568">Certified as one of the world's fastest-growing companies, a <strong data-start="510" data-end="533">Great Place to Work</strong>, and a <strong data-start="541" data-end="565">LinkedIn Top Startup</strong>.</p> </li> <li data-start="569" data-end="643"> <p data-start="571" data-end="643">Passionate about making Latin America more prosperous and competitive.</p> </li> <li data-start="644" data-end="749"> <p data-start="646" data-end=