🕒 6 days ago
As a Mid-level Data Scientist, you will develop predictive models, analyze data for payment propensity, and optimize collection strategies using advanced analytics and AI solutions.
Data Scientist (Científico de Datos) - Hybrid
📅 May 22
Machine LearningData AnalysisSQLPython
📜 Description
- 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
- Conduct data analysis to support business decisions
- Collaborate with data engineers to ensure data availability
🛠️ Requirements
- 3+ years of experience as a Data ScientistProficiency 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.
- 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.
✨ Benefits
- Competitive salary and stock options (ESOP) from day one
- An annual learning budget and accelerated development paths
Full job description
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.
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