Global Fashion Group

Overview of job

Global Fashion Group is the leading fashion and lifestyle destination in growth markets across SEA and ANZ. Our three e-commerce platforms: THE ICONIC, ZALORA and Dafiti connect an assortment of international, local and own brands to millions of consumers from diverse cultures and lifestyles. Powered by our best-in-class operational infrastructure, which is fashion-specific and tailored to local market needs, our platforms provide an inspiring and seamless end-to-end customer experience. We stand for benchmark-setting customer service, delivery options, returns policies, and curation of brands.

A bit about the role

You will be working in an agile environment providing data science and data analytics to support GFG as a leader in the online retail space.

At GFG, Data Scientists solve business problems which have a direct impact on customers and the business. For example:

• Personalisation / Product Recommendation
• Natural Language Processing (LLM)
• Forecasting
• Optimisation
• Customer Lifetime Value Prediction
• Marketing Channel Attribution

What you will do:

• Work with large streaming datasets to gain insights, train predictive models and measure results.
• Be involved in the full product life cycle.
• Develop scalable and innovative ML solutions.
• Collaborate with internal and external stakeholders.
• Ensure projects are delivered on time and budget.
• Ensure documentation of important decisions and proposed solutions.

• Annual Leave: 15 days
• Sick leave/Mental Health Days: 30 days.
• Occasion leave: 1 day.
• 13th month salary.
• Annual bonus: up to 3 months based salary (depends on company performance).
• Home Workspace support: up to 10mil/person.
• Learning budget up to EUR 500/person.
• Free Linkedin Learning, Udemy account.
• Medical benefits: Social insurance, medical insurance & AON insurance.
• Macbook is provided.
• Support for English class.
• Support Gym membership.
• Additionally, we offer a flat hierarchy, a fun and flexible work environment.

What we are looking for

• Excellent written and oral communication skills in English
• 5+ years experience in a similar role
• 3+ years experience in Python
• 3+ years experience in statistical modelling 
• Proven experience of building scalable machine learning models
• Proficiency in writing well-structured, maintainable, and readable Python code, with a good understanding of object-oriented programming and other programming paradigms.
• Ability to explain complex analytical concepts to people from other fields or business stakeholders
• Experience in producing visualisations to make analytics accessible to all
• Strong ability to craft raw data and analysis into well-written content, and translating insights into decisions and actions that have a direct business impact
• Ability to translate complex business problems into practical machine learning solutions, and iterate on them quickly to drive business impact
• Expertise in SQL
• Degree in Statistics, Computer Science, Decision Science, Mathematics, Information Management or other relevant technical field or equivalent work experience

Ways to stand out from the crowd

• Professional Software Engineering experience
• Familiarity with A/B testing methodology
• Retail and/or Online Retail
• Web analytics/Product analytics experience
• Docker
• GCP
• R