Remote Data Scientist - US Retail AI & ML (Mexico)

7Learnings; Veracruz; Remote; MXN 1,672,000 - 2,229,000; Full time

Benefits offered by this job

Flexible working hours

100% remote work from Mexico

30 vacation days per year

Culture of trust and feedback

High degree of personal responsibility

Job summary

7 Learnings is seeking an autonomous Data Scientist based in Mexico to own predictive decision-making for our US operations. You will work remotely, collaborating with our Berlin engineering team to translate retail challenges into scalable software solutions.

You will ensure model accuracy, manage technical debt, and contribute to a resilient data-driven product. The role requires hands-on ML, data pipeline optimization, and strong communication, with English at a professional level.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., business, CS, engineering, mathematics).
• Hands-on experience in machine learning and data science.
• Experience with Git, TensorFlow, Google Cloud Platform, SQL, or BigQuery.
• Strong project management skills with interest/experience in e‑commerce and retail.
• Excellent communication and stakeholder management; able to explain technical concepts to non-technical audiences.
• English at native or professional working level (C1–C2).

Responsibilities

• Support retail optimization projects across the US market.
• Experiment with ML models to forecast sales and costs.
• Interface with retailers and collaborate with global engineering teams.
• Optimize data pipelines and predictive model codebases.
• Monitor, measure, and explore large-scale datasets.

Skills

Machine learning

Data science

Communication

Stakeholder management

Project management

English proficiency

Education

Bachelor’s or Master’s degree (quantitative field)

Tools

Git

TensorFlow

Google Cloud Platform

SQL

BigQuery

Job description

7 Learnings is seeking an autonomous Data Scientist based in Mexico to own predictive decision-making for our US operations. You will work remotely, collaborating with our Berlin engineering team to translate retail challenges into scalable software solutions.

You will ensure model accuracy, manage technical debt, and contribute to a resilient data-driven product. The role requires hands-on ML, data pipeline optimization, and strong communication, with English at a professional level.