Clara
fintech
JuniorDataScientist
Neural analysis suggests this role is
optimal for Entry candidates.
“Junior Data Scientist at Clara. Skills: Data Science, Machine Learning, SQL, Python. Build machine learning models. Integrate machine learning models”
Industry & Context.
Research and find solutions
What They're Looking For.
Must Have
1+ years of experience as a Data Scientist, Proficiency in SQL, Proficiency in Python, Proficiency in Git, Experience with machine learning frameworks, Experience with object-oriented programming (OOP), Understanding of data science best practices, Ability to say 'I don't know', Willingness to research and find solutions, Good english level
Nice to Have
Experience with Corporate Bill Pay and Spend Management, Familiarity with corporate bill pay, Familiarity with credit card, Familiarity with spend management products, Experience with data visualization tools, Experience with Metabase, Experience with QuickSight, Experience with Databricks, Proficiency in R for data analysis, Proficiency in R for modeling, Experience designing A tests, Experience analyzing A tests, Understanding of regulatory requirements, Understanding of compliance standards in the financial sector, Understanding of regulatory requirements in Latin America, Understanding of compliance standards in Latin America
What You'll Do.
Build machine learning models
Integrate machine learning models
Maintain machine learning models
Tackle problems with best approach
Create informative visualizations
Explain work for audience
Identify data requirements
Conduct data analysis
Support business decisions
Ensure data availability
Implement solutions for goals
Document work for references
How You'll Work.
Team & Collaboration
Collaborate with teams remotely; Collaborate with data engineers; Collaborate with data engineering team
Communication Scope
Good english level
Full Job Description
Ready to accelerate your career? 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. 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. 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. 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 references Requirements: 1+ years of experience as a Data Scientist Proficiency in SQL, Python, and Git. Experience with machine learning frameworks (e.g., Scikit-
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