Remote Data Scientist - Retail Forecasting & ML (Mexico)

7Learnings GmbH; Ciudad de México; Remote; MXN 500.000 - 900.000; Vollzeit

Benefits dieser Stelle

Flexible working hours

100% remote work from Mexico

30 vacation days per year

Culture of trust and regular,construct

Zusammenfassung

7Learnings GmbH is seeking an autonomous Data Scientist based in Mexico to own predictive decision-making for our North American operations. You will ensure our AI-driven engines are sound, optimized, and engineering-resilient while supporting US clients remotely.

You will collaborate with our Berlin engineering team to translate retail challenges into scalable software, maintaining high model accuracy and managing data pipelines across time zones.

Qualifikationen

• Hands-on ML and data science experience.
• Experience with Git, TensorFlow, GCP, SQL or BigQuery.
• Strong stakeholder management and communication skills.

Aufgaben

• Leverage analytical skills to support retail optimization projects across the US market.
• Experiment with ML models to forecast sales volume and costs.
• Interface with retailers to improve the software.
• Collaborate with the global engineering team.
• Optimize data pipelines and model codebases.
• Monitor and explore large-scale datasets.

Kenntnisse

Machine learning

Data science

Communication

Project management

English (C1-C2)

Quantitative reasoning

Ausbildung

Bachelor’s or Master’s degree in Business Administration, Computer Science, Industrial Engineering, Mathematics, Physics, or related quantitative field

Tools

Git

TensorFlow

Google Cloud Platform

SQL

BigQuery

Jobbeschreibung

7Learnings GmbH is seeking an autonomous Data Scientist based in Mexico to own predictive decision-making for our North American operations. You will ensure our AI-driven engines are sound, optimized, and engineering-resilient while supporting US clients remotely.

You will collaborate with our Berlin engineering team to translate retail challenges into scalable software, maintaining high model accuracy and managing data pipelines across time zones.