Data Scientist - Remote Malaysia (m/f/d) - Sydney Team
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- Pay
- Salary not listed in the saved posting
- Work setup
Remote stated — work setup source
Listed location: Remote
Read the full posting- Employment
- Unconfirmed
What you’ll work on
Full postingWe are looking for an autonomous Data Scientist based in Malaysia to own the intersection of sophisticated predictive decision-making and world-class engineering for our local operations.
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 client on the ground.
Education & alternatives
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.
Tools in this posting
- SQL
- TensorFlow
- Google Cloud (GCP)
- BigQuery
Source — Tool mentions in context
- 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 fashion industry.
Job description
We are looking for an autonomous Data Scientist based in Malaysia to own the intersection of sophisticated predictive decision-making and world-class engineering for our local 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 Malaysia for our clients in Sydney.
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 client on the ground. As our dedicated data science resource in Sydney, 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.
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.
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 fashion industry.
Exceptional communication and stakeholder management abilities, with a proven track record of explaining technical concepts to non-technical audiences.
English: Professional working proficiency (minimum C1 level).
You are located in Malaysia.
What we offer?
- Flexible working hours
- 100% remote work
- 30 vacation days per year
- Culture of trust and regular, constructive feedback
- High degree of personal responsibility
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on 7learnings.jobs.personio.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Remote
- Flexible working hours - 100% remote work - 30 vacation days per year
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Aug 1, 2026
- Recorded sightings
- 18
- Last seen by us
- Sep 29, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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