Remote Data Scientist - Retail ML & Forecasting (MY)

7Learnings; Kuala Lumpur; Remote; MYR 100,000 - 180,000; Full time

Benefits offered by this job

30 vacation days per year

Remote work from Malaysia

Job summary

7Learnings is seeking an autonomous Data Scientist based in Malaysia to own the intersection of predictive decision-making and scalable software for our Sydney clients. You will work remotely from Malaysia and collaborate with our Berlin engineering team to translate retail challenges into production-ready models and robust data pipelines.

You will apply hands-on ML and data science skills, drive model accuracy, and maintain low technical debt while communicating clearly with stakeholders across

Qualifications

• Bachelor's or Master's degree in a quantitative field
• Hands-on experience in machine learning and data science
• Experience with Git, TensorFlow, Google Cloud Platform, SQL, or BigQuery
• Strong project management with interest in e-commerce and fashion
• Excellent communication and stakeholder management, plus English proficiency

Responsibilities

• Leverage analytical skills to support retail optimization projects
• Experiment with Machine Learning models to forecast sales volume and costs
• Interface with retailers to continuously improve the 7Learnings software
• Collaborate closely with our engineering team
• Optimize our data pipelines and predictive model codebases
• Support the monitoring, measurement, and exploration of large-scale datasets

Skills

Machine learning

Data science

Project management

Communication

English proficiency

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Tools

Git

TensorFlow

Google Cloud Platform

SQL

BigQuery

Job description

7Learnings is seeking an autonomous Data Scientist based in Malaysia to own the intersection of predictive decision-making and scalable software for our Sydney clients. You will work remotely from Malaysia and collaborate with our Berlin engineering team to translate retail challenges into production-ready models and robust data pipelines.

You will apply hands-on ML and data science skills, drive model accuracy, and maintain low technical debt while communicating clearly with stakeholders across