Data Scientist

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.