ZALORA Vietnam

Tóm tắt công việc

We are looking for an exceptional Senior Data Scientist to synthesize and leverage our data to understand our customers and improve our business.

As a Senior Data Scientist, you will work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas. You will research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes. Additionally, you will help to manage and provide guidance to Junior Data Scienists in the team.

Responsibilities

• Given the available data, perform analysis and identify potential problems that can be taken to improve company business.
• Work with cross-functional team members across different projects.
• Design and implement Machine Learning solutions to address the project’s problems.
• Manage and provide guidance to Junior Data Scientists in the team.

ZALORA is the leading e-commerce company providing fashion throughout South East Asia. ZALORA Engineering has teams in Singapore and Vietnam to serve millions of users in Malaysia, Singapore, Hong Kong, Taiwan, Indonesia, Philippines. This regional diversity presents a lot of interesting challenges that you and your colleagues will face. You will learn a lot by tackling these challenges.

ZALORA's e-commerce platform is built with love by the engineering team. The Ho Chi Minh office, 12 Ton Dan, D4 (ZALORA Group) focuses completely on engineering and sets a high standard for software development in the field of e-commerce. This team creates the tech stack that powers ZALORA's stellar shopping experience. This ranges from the online shop and the mobile apps to ZALORA's complex logistics solutions.

• MacBook will be provided
• Opportunity to gain exposure working in 6 Southeast Asian markets
• Premium Healthcare insurance (support for parents, spouse, and children)
• Yearly performance bonus (up to 3 months)
• 15 days annual leave
• Company trip every year and many outing trips
• Budget for your individual training

• Having at least three years working experience in the field
• Getting knowledge of statistical and predictive modeling concepts, machine learning approaches, data mining, clustering and classification techniques, recommendation and optimization algorithms.
• Being proficient in any of the following programming languages: R, Python, Java, Scala.
• Being familiar with all popular libraries used in maching learning such as numpy, pandas, scikit-learn, nltk, fasttext.
• Being familiar with at least one popular deep learning frameworks such as Tensorflow, Pytorch, or  Keras.io.
• Being familiar with AWS ecosystem (EC2, S3), and Google Cloud (Google Big Query)
• Being familiar with at least one database systems such as MySQL, MongoDB, AWS Redshift, or AWS Postgres.

Optional Requirements

• Having a Master or PhD. Degree in Computer Science, Applied Statistics, Mathematics or a related Quantitative Discipline.
• Being familiar with Big Data (MapReduce, Spark)
• Having experience in working with Stream Data
• Having experience in working with Recommendation Engine, Object Detection, Image Classification, or Text Classification.