Junior Data Scientist

26 ott - Modena
Clara

h3 pClara 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 pClara 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. /p pWe’re building the financial infrastructure that powers high-performing organizations across the region. p pWe are looking for someone who will: /p ul liBuild, integrate and maintain machine learning models in a development environment /li liHigh level of business understanding to tackle any problem with the best possible approach /li liCreate simple but very informative visualizations to explain your work for a broad audience /li liIdentify data requirements and needs along with the data engineering team /li liBe able to collaborate with teams remotely, not only locally /li liConduct data analysis to support business decisions. /li liCollaborate with data engineers to ensure data availability.



/li liCollaborate with our data engineering team to implement solutions to meet the company’s goals /li liDocument your work to have a solid foundation of it for new team members or future references /li /ul pRequirements: /p ul li1+ years of experience as a Data Scientistbr/Proficiency in SQL, Python, and Git. /li liExperience with machine learning frameworks (e.g., Scikit-learn, TensorFlow). /li liExperience with object-oriented programming (OOP). /li liFamiliarity with AWS and Databricks. /li liUnderstanding of data science best practices. /li liAbility to say ‘I don’t know’ and willingness to research and find solutions. /li liGood english level. /li /ul pPreferred Qualifications: /p ul libExperience with Corporate Bill Pay and Spend Management: /b Familiarity with corporate bill pay, credit card, and spend management products. /li libData Visualization Tools: /b Experience with data visualization tools such as Metabase, QuickSight, and Databricks. /li libProgramming Skills: /b Proficiency in SQL, Python, and/or R for data analysis and modeling. /li libA/B Testing and Experimentation: /b Experience designing and analyzing A/B tests to drive product decisions. /li libRegulatory Compliance: /b Understanding of regulatory requirements and compliance standards in the financial sector, especially those relevant to Latin America. /li /ul h3Why join Clara /h3 pAt 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 h3Who we are /h3 ul lipWe’re the leading bB2B fintech for spend management /b in Latin America. /p /li lipConstantly innovating to build financial infrastructure that enables each of our customers to thrive. /p /li /ul h3What we believe in /h3 ul lipb#Clarity. /b We build products and experiences we’re proud of. /p /li /ul h3What we offer /h3 ul lipCompetitive salary and stock options ( bESOP /b ) from day one /p /li lipMulticultural team with daily exposure to bPortuguese, Spanish, and English /b (our corporate language) /p /li lipAnnual learning budget and internal accelerated development paths /p /li lipHigh-ownership environment: we move fast, learn fast, and raise the bar — together /p /li lipSmart, ambitious teammates — low ego, high impact /p /li lipFlexible vacation and bhybrid work model /b focused on results /p /li /ul h3Clara’s Hybrid Policy /h3 pClaridians 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. /p pWe 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. /

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