Data Scientist - Remote Mexico (m/f/d) - New York Team

7Learnings GmbH

Ciudad de México

Remote

MXN 500,000 - 900,000

Full time

14 days+

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Benefits offered by this job

Flexible working hours
100% remote work from Mexico
30 vacation days per year
Culture of trust and regular,construct

Job summary

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.

Qualifications

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

Responsibilities

  • 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.

Skills

Machine learning
Data science
Communication
Project management
English (C1-C2)
Quantitative reasoning

Education

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

Job description

About the role

We are looking for an autonomous Data Scientistbased in Mexico to own the intersection of sophisticated predictive decision-making and world-class engineering for our North American operations. In this role, you won't just run standard scripts; you will be the custodian of our product's localized evolution, ensuring our AI-driven decision engines are mathematically sound, highly optimized, and engineering-resilient. You will be working remotely from Mexico, supporting our growing team and clients across the US.

Working closely with our core engineering team in Berlin, you will translate complex, real-world retail challenges into scalable, high-performance software solutions directly impacting our US clients on the ground. As our dedicated data science resource for the US region, you are the engine of 7Learnings’ regional presence. Our product relies on the perfect harmony between complex algorithms and stable software; you will be responsible for ensuring that our technical execution remains flawless, technical debt remains low, and model accuracy remains exceptionally high.

Your mission
  • Leverage analytical skills to support retail optimization projects across the US market.

  • Experiment with Machine Learning models to forecast sales volume and costs.

  • Interface with retailers to continuously improve the 7Learnings software.

  • Collaborate closely with our global engineering team.

  • Optimize our data pipelines and predictive model codebases.

  • Support the monitoring, measurement, and exploration of large-scale datasets.

Your profile
  • Bachelor’s or Master’s degree in Business Administration, Computer Science, Industrial Engineering, Mathematics, Physics, or a related quantitative field.

  • A results-oriented, pragmatic mindset.

  • Hands-on experience in machine learning and data science.

  • Prior experience with Git, TensorFlow, Google Cloud Platform, SQL, or BigQuery.

  • Strong project management skills, with prior experience or a strong interest in e-commerce and the retail industry.

  • Exceptional communication and stakeholder management abilities, with a proven track record of explaining technical concepts to non-technical audiences.

  • English: C1-C2 level.

  • You are located in Mexico (working aligned with US time zones).

What we offer?
  • Flexible working hours

  • 100% remote work from Mexico

  • 30 vacation days per year

  • Culture of trust and regular, constructive feedback

  • High degree of personal responsibility

#LI-Remote

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