Data Scientist

• Drive the full lifecycle of Data Science/Analytics projects: from gathering and understanding the end-user needs to implement a fully automated solution.
• Develop and provision of Data pipelines to enable self-service reports and dashboards.
• Deploy Machine learning techniques to answer the appropriate business problems using R or Python.
• Visualise data using Tableau and create repeatable visual analysis for end users to use as tools.
• Take ownership of the existing BI platforms and maintain the data integrity and accuracy of the numbers and data sources.
• Know Agile - Scrum project management experience/knowledge - Ability to  prioritise, pushback and effectively manage a data product and sprint backlog.
   

Requirements:

• 4+years of professional data science or product analytics experience focused on empirical analytics, data mining, and predictive analytics to develop measurable insights.
• Strong proficiency in writing production-quality code preferable in R/Python, engineering experience with machine learning projects like time series forecasting, Classification and optimisation problems.
• Experience with Tableau, Power BI, Superset or any standard data visualisation tools.
• Experience in building data pipelines using MPP databases (e.g. Redshift, BigQuery) and Google Analytics/Google Tag Manager is a bonus.
• Management experience would be an added advantage point.
• Exhibits sound business judgment, a proven ability to influence others, strong  analytical skills, and a proven track record of taking ownership, leading data-driven analyses, and influencing results
• E-commerce / logistics / fashion retail background a bonus.
• Experience on GCP

• An exciting platform to make your success story
• Have the utmost care for your mental and physical wellbeing
• Flexibility weaved into your lifestyle
• A seamless work environment with a friendly & team-fueled culture
• Career growth aligned to your professional and personal needs and goals

The ZALORA Story

ZALORA is Asia’s leading online fashion, beauty and lifestyle destination, part of Global Fashion Group. As one of the region’s pioneer large scale eCommerce platforms, ZALORA has established a strong presence throughout the region, particularly in Singapore, Indonesia, Malaysia, Brunei, the Philippines, Hong Kong, and in Taiwan, enjoying over 50 million visits per month.

ZALORA is not obligated to accept resumes from any third parties on behalf of potential candidates for any position (advertised or otherwise) by any means unless ZALORA has executed a written agreement with such third party and has expressly requested such third party for candidate referrals. Third parties who provide unsolicited resumes of candidate(s) shall waive and forfeit all rights to claim for any placement fees or referral fees in the event that such candidate is eventually engaged or employed by ZALORA or Global Fashion Group.