Junior Data Scientist — Hybrid, ESOP, Fast-Growth Fintech

Clara; Colombia; Híbrido; COP 60.000.000 - 100.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Stock options

Multicultural team

Learning budget

Hybrid work model

Competitive salary

Descripción de la vacante

Clara is seeking a Data Scientist to build, integrate and maintain machine learning models in a fast-paced environment across the Americas. You will translate business needs into data-driven solutions, create clear visualizations, and collaborate with data engineers to ensure data availability.

The role requires 1+ years of experience with SQL, Python, Git, and proficiency in ML frameworks like Scikit-learn or TensorFlow. Fluency in English is preferred and a hybrid work model is offered.

Formación

• 1+ years of experience as a Data Scientist with proficiency in SQL, Python, and Git.
• Experience with machine learning frameworks (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.

Responsabilidades

• Build, integrate and maintain machine learning models in a development environment.
• Demonstrate high business understanding to tackle problems with the best approach.
• Create simple but informative visualizations to explain work to a broad audience.
• Identify data requirements and collaborate with the data engineering team.
• Collaborate with teams remotely, not only locally.
• Conduct data analysis to support business decisions.

Conocimientos

SQL

Python

Git

Machine learning

OOP

AWS

Databricks

TensorFlow

Scikit-learn

English

Herramientas

Databricks

AWS

Descripción del empleo

Clara is seeking a Data Scientist to build, integrate and maintain machine learning models in a fast-paced environment across the Americas. You will translate business needs into data-driven solutions, create clear visualizations, and collaborate with data engineers to ensure data availability.

The role requires 1+ years of experience with SQL, Python, Git, and proficiency in ML frameworks like Scikit-learn or TensorFlow. Fluency in English is preferred and a hybrid work model is offered.