Data Scientist (Científico de Datos) - Hybrid

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.

• Regulatory Compliance: Understanding of regulatory requirements and compliance standards in the financial sector, especially those relevant to Latin America.

• Where we work

• This is a hybrid role: you'll split your time between the office, customers and home. We don't set a minimum number of office days for most roles — you'll spend time in the office naturally, and most days during your ramp-up or when your leader asks.

Why Clara

• A high talent-density team driven to make an impact in Latin America — low ego, high ownership.

• Competitive salary and stock options (ESOP) from day one.

• An annual learning budget and accelerated development paths.

• English is our working language, with Spanish and Portuguese every day.

How we work

• Clarity — Open and direct communication: we say what we mean and give context where it matters.

• Simplicity — If it can be simpler, it should be.

• Ownership — We own everything we do, end to end. When something needs to happen, we don't wait.

• Pride — We hold ourselves to a high standard, and it shows in what we deliver.

• ABC (Always Be Changing) — We adapt fast, embrace change, and keep learning.

• Inclusivity — Diverse ideas, stories and perspectives build a better Clara.

If you meet the must-haves, apply — the nice-to-haves are a bonus, not a requirement.