Data sciëntist
Pubblicato il 13-10-2026 - Clara in Modena
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 B2 B 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. 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 ScientistProficiency in SQL, Python, and Git.
Experience with machine learning frameworks (e.g., Scikit-learn, Tensor Flow).
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.
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, Quick Sight, 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. We're the leading B2 B fintech for spend management in Latin America. Certified as one of the world's fastest-growing companies, a Great Place to Work , and a Linked In Top Startup .
Constantly innovating to build financial infrastructure that enables each of our customers to thrive. Product-led, high-talent-density culture — designed for builders who raise the bar. What we believe in #Clarity.
We build products and experiences we're proud of. #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 Clara's Hybrid Policy Claridians in a hybrid mode split their time between working from the office, talking to or visiting customers, or working from home. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for each individual and team. We don't enforce a minimum number of days for most roles, but you're expected to spend time at the office organically, and be at the office most days during your ramp-up or when required by your leader.