Data Science Intern - Ciudad De México

Proficient coding in Python and/or R

SQL queries

Knowledge with data modeling and machine learning techniques (eg. Regression, classification, forecast, attribution techniques).

Linux basic user level (basic commands, file system, package managers)

Software design basics (development best practices)

Machine learning and statistics frameworks or libraries (PyTorch, Sklearn, Tidymodels, Caret, etc.)

Cloud platforms such as Azure, AWS, Google Cloud
Responsibilities:
Help build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation in Production

Partner with other data scientists and data engineers to help inform, build, and test models.

Apply understanding of advanced machine learning practices to enhance product performance.

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver products

Facilitate data-driven and informed decision-making and prioritization.

Have a good understanding of general business trends and context.
Benefits:
Remote

Benefits above the law