Data Scientist — ML & Analytics for Fintech Growth

Clara; Ciudad de México; Hybrid; MXN 600,000 - 900,000; Full time

Benefits offered by this job

ESOP stock options

Hybrid work model

Learning budget

Job summary

Clara, the leading B2B fintech for spend management in Latin America, is seeking a Data Scientist to build, integrate and maintain machine learning models, collaborating with data engineers and business teams to drive strategic decisions.

You'll analyze data, create informative visualizations, and ensure data availability while working with AWS, Databricks, SQL, Python, and Git in a fast-paced, distributed team across the Americas.

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Python

Git

Machine learning

OOP

AWS

Databricks

Tools

Databricks

AWS

Job description

Clara, the leading B2B fintech for spend management in Latin America, is seeking a Data Scientist to build, integrate and maintain machine learning models, collaborating with data engineers and business teams to drive strategic decisions.

You'll analyze data, create informative visualizations, and ensure data availability while working with AWS, Databricks, SQL, Python, and Git in a fast-paced, distributed team across the Americas.