Junior Data Scientist (Científico de Datos Junior) - Hybrid

Clara; Mexico; On-site; PHP 3,650,000 - 6,083,000; Full time

Benefits offered by this job

ESOP

Multicultural team

Learning budget

Hybrid work model

Job summary

Clara is the leading B2B fintech platform in Latin America, delivering an end-to-end payments and spend management solution. We are seeking a Data Scientist to build and deploy models, analyze data, and craft clear visualizations for business decisions.

You will collaborate with data engineers and remote teams across the Americas, applying ML techniques, data exploration, and best practices to drive product decisions and financial clarity.

Qualifications

• 1+ years of experience as a Data Scientist, with SQL, Python, and Git.
• Experience with ML frameworks such as Scikit-learn or TensorFlow.
• Familiarity with AWS and Databricks; OOP knowledge.
• Strong data analysis, problem solving, and willingness to research.

Responsibilities

• Build, integrate and maintain machine learning models in a development environment.
• Analyze data to support business decisions and create informative visualizations.
• Collaborate with data engineers to ensure data availability and integration.
• Identify data requirements and work with the data engineering team.
• Communicate work clearly to a broad audience through visualizations.
• Collaborate with remote teams to deliver results.
• Document methodologies for future reference and onboarding.

Skills

SQL

Python

Git

Data analysis

OOP

Tools

Scikit-learn

TensorFlow

AWS

Databricks

Metabase

QuickSight

Job description

Latin America

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-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.

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.

Why join Clara

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.

Who we are

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.

What we believe in

#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

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.