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Remote Data Scientist supporting North American retail optimization

Confidential company · Berlin · Posted Oct 9, 2026

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Public summary

Seeking an autonomous Data Scientist working remotely from Mexico to develop and optimize AI-driven decision engines for retail optimization in North America. This role involves collaboration with engineering teams, translating retail challenges into scalable software solutions, and maintaining high model accuracy. Requires strong expertise in machine learning, data science, and relevant technologies, with a background in quantitative fields and professional English proficiency.

Location and work setup

Location
Berlin
Remote status
Remote
German requirement signal
No German Required Detected
Detected job language
English

Responsibilities

Leverage analytical skills to support retail optimization projects in the US market; experiment with machine learning models to forecast sales and costs; interface with retailers to improve software; collaborate with global engineering teams; optimize data pipelines and predictive model codebases; support monitoring and exploration of large-scale datasets.

Qualifications

Bachelor's or Master's degree in a quantitative field such as Business Administration, Computer Science, Industrial Engineering, Mathematics, or Physics; hands-on experience with machine learning, data science, Git, TensorFlow, Google Cloud Platform, SQL, or BigQuery; strong project management skills; excellent communication and stakeholder management abilities; professional working proficiency in English; located in Mexico aligned with US time zones.

Skills

machine learning data science Git TensorFlow Google Cloud Platform SQL BigQuery project management e-commerce retail industry