Global Data Science Intern: Supply Chain Analytics

CEMEX, Inc.; San Pedro Garza García; Hybrid; MXN 67,000 - 100,000; Part time

Job summary

CEMEX, Inc. invites applications for a Global Data Science Intern at Campus CX in San Pedro Garza García, Nuevo León. The internship runs for six months with renewal options, starting October 2026, requiring 25–30 hours per week.

You will work on end-to-end analytical solutions for Supply Chain with mentorship from the Global Data Science team. Ideal candidates have strong Python and SQL skills, English communication, and familiarity with Git.

Qualifications

• Strong analytical and problem-solving skills; translate business problems into data tasks.
• Proficiency in Python for data analysis and modeling.
• Solid knowledge of SQL and data querying.
• Ability to communicate insights effectively and tell a story with data.
• Strong collaboration in a global, agile team; attention to detail.

Responsibilities

• Process, clean, and validate data for analytical and modeling purposes.
• Conduct exploratory data analysis to generate insights and support decision-making.
• Formulate hypotheses and design analytical approaches; apply statistical techniques.
• Perform feature engineering and data preparation for predictive and prescriptive models.
• Develop, evaluate, and iterate on models using ML or AI techniques.
• Contribute to end-to-end Data Science solutions with documentation and production prep.
• Apply best practices in reproducibility, version control, and technical documentation.

Skills

Python

SQL

Data storytelling

Git

English communication

Tools

Snowflake

REST APIs

HTML/CSS

Power BI

Tableau

Git

Job description

CEMEX, Inc. invites applications for a Global Data Science Intern at Campus CX in San Pedro Garza García, Nuevo León. The internship runs for six months with renewal options, starting October 2026, requiring 25–30 hours per week.

You will work on end-to-end analytical solutions for Supply Chain with mentorship from the Global Data Science team. Ideal candidates have strong Python and SQL skills, English communication, and familiarity with Git.