Senior Data Scientist

Top 3 reasons to join us

• International working environment
• Highly scalable platforms with 2+ billion visits
• Great colleagues

Job description

Global Fashion Group is the leading fashion and lifestyle destination in growth markets across LATAM, SEA and ANZ. From our people to our customers and partners, we exist to empower everyone to express their true selves through fashion. Our three e-commerce platforms: Dafiti, ZALORA and THE ICONIC connect an assortment of international, local and own brands to over 800 million consumers from diverse cultures and lifestyles. GFG’s platforms provide seamless and inspiring customer experiences from discovery to delivery, powered by art & science that is infused with unparalleled local knowledge. As part of the Group’s vision is to be the #1 online destination for fashion & lifestyle in growth markets, we are committed to doing this responsibly by being people and planet positive across everything we do.

THE TEAM

The Data Team is an integral part of GFG and is essential to enable a data-driven decision making culture. The Data team sits at the cross-roads of various departments including: Strategic Brand Partnerships, Commercial,  Finance, Product Management, Technology and Platform Services. It is an exciting place to be and allows us to provide unique insights about the business, its environment and the marketplace. 

ABOUT THE ROLE 

We are looking for Senior Data Scientist who is happy to play across the data spectrum - of data engineering, data science and eventually a bit of data translation of insights to English.

You should have a demonstrated passion for Data Science in coding, optimizing computational logic, applying data mining techniques, conducting statistical analysis, and building predictive models to enable data driven decision making for the wider business through the art of data empathy. This role will work on some cutting-edge data platforms and algorithms, with an unquenchable need to get things done!

You will be reporting to the Head of Data Science and working with various counterparts in Singapore, Vietnam, Germany, Malaysia and Vietnam.

THE IMPACT YOU’LL MAKE

Your work will have a direct impact on shaping the future of how all the operations and decisions are enabled across 14 countries around the world, and will help run the group more efficiently and be on the leading edge of offering a seamless customer experience.

Your skills and experience

• BS/MS/PhD in Computer Science or related technical discipline
• 5+ years of working experience in a similar role.
• Demonstrable knowledge and application of data mining, statistical modeling and machine learning techniques 
• Proficient in any of the following programming languages: Python, R, Scala
• Experience with SQL and relational databases
• Experience with AWS and GCP cloud technologies
• Good writing and verbal English communication skills

Why you'll love working here

WHAT WE OFFER YOU

• The unique opportunity to have a serious impact on a growing organization
• A dynamic working environment shaping the face of fashion e-commerce in growth markets
• Work closely with a global talent pool with international mindset 
• Best practice scaled agile engineering
• Amazing office and great culture! Massage chairs, table tennis, video game room, quarterly team events, yearly company trip, end of the year party
• Hybrid working environment and work from home set up allowance
• Clear career progression plan and support
• English classes
• Macbook or laptop when you start
• Social insurance, medical insurance & health insurance
• 13th month salary
• 15 days of annual leave, 30 days of sick leave/mental health, 1 day of occasion leave
• Support for Gym membership

Apply today and join GFG in this exciting role shaping the face of fashion e-commerce!

Global Fashion Group embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.