Clara1mo ago

Data Scientist - Risk (Científico de Datos - Riesgo) - Bogota (Hybrid)

Latin AmericaRemotemid

Data ScienceData ScientistDataData & AI

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Quick Summary

Key Responsibilities

Collaborate with cross-functional teams to identify business challenges, propose end-to-end solutions, and execute strategies that align with company objectives.

Technical Tools

Data ScienceData ScientistDataData & AI

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.

Responsibilities

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We're looking for a Data Scientist to join our Risk Data Science team. In this role, you will be instrumental in analyzing complex datasets to generate insights that drive critical business decisions, specifically within credit risk, fraud prevention, and churn reduction. You will work cross-functionally to design, build, and deploy data-driven strategies that ensure Clara continues to scale securely and efficiently.

Responsibilities

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Nice to Have

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Experience with data visualization tools such as Metabase.
Solid understanding of data engineering concepts and ETL processes.
Experience taking data workflows or models from development to production.
Master’s degree in Data Science or a related field.
Basic proficiency in Portuguese (or a desire to learn it).

What We Offer

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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.

We’re the leading B2B fintech for spend management in Latin America.
Certified as one of the world's fastest-growing companies, a Great Place to Work, and a LinkedIn Top Startup.
Passionate about making Latin America more prosperous and competitive.
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.
Proud of our open, inclusive, and values-driven environment.

#Clarity. We say things clearly, directly, and proactively.
#Simplicity. We reduce noise to focus on what really matters.
#Ownership. We take responsibility and never wait to be told.
#Pride. We build products and experiences we’re proud of.
#Always Be Changing (ABC). We grow through feedback, risk-taking, and action.
#Inclusivity. Every voice counts. Everyone contributes to our mission.

What We Offer

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✓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

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.