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Remote role · data-sci

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

7Learnings GmbH

Before you apply

Role details

The practical picture
Work arrangement
Fully remote
Employment
Full-time
Eligible locations
Mexico

Work & location

Remote scope
Mexico
Time zones
US time zones

Experience & eligibility

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

Inside the role

Department
Tech
Qualifications
Bachelor’s or Master’s degree in Business Administration, Computer Science, Industrial Engineering, Mathematics, Physics, or a related quantitative field Hands-on experience in machine learning and data science Prior experience with Git, TensorFlow, Google Cloud Platform, SQL, or BigQuery Strong project management skills Exceptional communication and stakeholder management abilities English: Native speaker or professional working proficiency (C1-C2 level)
Role signal brief

The role, at a glance

Extracted from the source posting · 95% confidence

7Learnings GmbH is hiring a Data Scientist to support retail optimization projects across the US market from a remote location in Mexico. The role involves experimenting with machine learning models to forecast sales and costs, optimizing data pipelines, and collaborating with a global engineering team based in Berlin. The candidate must have a degree in a quantitative field, hands-on experience in machine learning, and proficiency in English.

Remote scope
Mexico
Time zones
US time zones

What you need

  • Bachelor’s or Master’s degree in Business Administration, Computer Science, Industrial Engineering, Mathematics, Physics, or a related quantitative field
  • Hands-on experience in machine learning and data science
  • Prior experience with Git, TensorFlow, Google Cloud Platform, SQL, or BigQuery
  • Strong project management skills
  • Exceptional communication and stakeholder management abilities
  • English: Native speaker or professional working proficiency (C1-C2 level)

What you will own

  • 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 the global engineering team
  • Optimize data pipelines and predictive model codebases
  • Support the monitoring, measurement, and exploration of large-scale datasets
Core skills
Machine LearningData ScienceGitTensorFlowGoogle Cloud PlatformSQLBigQueryProject ManagementStakeholder Management
Internal freshness window ends Oct 22, 2026
View source evidence
  • salary “Not provided”
  • location “Remote”
  • remote_scope “You are located in Mexico”
  • applicant_location_requirements “Data Scientist - Remote Mexico”
  • timezone_requirements “working aligned with US time zones”
  • must_have “Bachelor’s or Master’s degree in Business Administration, Computer Science, Industrial Engineering, Mathematics, Physics, or a related quantitative field.”
  • must_have “Hands-on experience in machine learning and data science.”
  • must_have “Prior experience with Git, TensorFlow, Google Cloud Platform, SQL, or BigQuery.”
  • must_have “English: Native speaker or professional working proficiency (C1-C2 level).”
  • must_have “You are located in Mexico”
  • employment_types “Flexible working hours”
  • workplace_type “100% remote work from Mexico”
  • experience_requirements_text “Hands-on experience in machine learning and data science.”
machine learningdata sciencegittensorflow
Role brief
About the role

We are looking for an autonomous Data Scientist based 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: Native speaker or professional working proficiency (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