Logo for 7Learnings

Data Scientist - Remote Malaysia (m/f/d) - Sydney Team

7Learnings

Role overview

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
  • Exceptional communication and stakeholder management abilities

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
  • Optimize our data pipelines and predictive model codebases

About the company

7Learnings logo

7Learnings

We help B2C retailers to maximize their results with predictive pricing. We have already implemented this approach for various retailers (e.g. Mister Spex, ABOUT YOU, TAKKT AG, JUNIQUE ). On average, you will achieve a +10% profit uplift. Our solution uses advanced machine learning models to forecast demand for different price points with high accuracy. We offer the most intuitive way to steer prices. Our prices simply maximize the business goals set by our clients. Why? After starting his career as a pricing consultant at A.T. Kearney, 7Learnings co-founder Felix Hoffman was in charge of Zalando’s global pricing algorithm. There, he gained first-hand expertise in the power of machine learning technology for pricing. With this experience as its foundation, the 7Learnings team has developed a next-generation pricing software built on the most advanced machine learning technology. Team 🤝 We are a team of pricing industry experts and innovators, passionate about creating the next generation of pricing. We believe in personal growth through curiosity and continuous learning. At 7Learnings we create an environment where constant learning is encouraged. We create a winning team by teaching and helping each other to gain new skills. We believe learning does not happen automatically: You have to put in the work to keep on growing. We believe in a culture based on transparency and honesty. We call it what it is and don’t beat around the bush. We offer candor feedback to our colleagues and don’t gossip behind their backs. We are honest about our mistakes and face the facts. We own it. We are not victims but actively shape the way we work. We take pride in our work and aspire to achieve the best results possible. We do not lose sight of deadlines and balance quality and timely delivery. With that said, if you identify with these values and find yourself a great addition to the team, take a look at our career page to become a 7Learner.

Company details

Company size11 - 50

Links

LinkedIn See all jobs

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

About the role

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

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Data Scientist Related jobs

MalaysiaData Scientist

Other jobs at 7Learnings

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.