We (Ztore.com) are an online supermarket with same-day delivery, selling quality groceries and home essentials. You can simply buy what you want anywhere anytime online. Through our certificated payment gateway, you just choose your favorite delivery time slot and you will receive your delivery at home fast and safe.
Our vision is to Deliver A Better Living to our customers through choices that really matter and excellent service.
Ztore is undergoing rapid expansion and we are looking forward to you joining our energetic and creative team. You will find out that it’s more than just a JOB.
Ztore has an innovative and open-minded culture. Ztore blends the Traditional Values with cutting-edge technology. We develop our people by empowering them with decision-making authorities in everyday-life at Ztore.
Complete assigned tasks from supervisors in the following streams:
Machine Learning: Take part in improving the different ML models currently in use, e.g. recommender system, fraud detection.
Evaluate application of ML in other use cases independently, and with guidance, productionise and deploy ML models.
Big Data Engineering
Expand our current data pipeline utilizing streaming/distributed computing frameworks.
Design data models for our data warehouse and implement ETL workflows.
Create intuitive and interactive data visualizations upon users’ requests.
Organize training activities for internal teams to strengthen data competence in the company.
Required Skills & Qualifications:
Bachelor’s degree in any quantitative discipline
Solid experience with Python
Experience in building ML models, with knowledge about advanced ML topics (neural networks, embedding, etc). Able to formulate a machine learning problem for a business use case.
At least 1 of the followings: Cloud Architecture/Devops; Application deployment on cloud using modern tools: docker, serverless architecture, etc.
Databases: Solid knowledge in SQL queries (joining tables, sub-queries). Knowledge about NoSQL DBs is a plus.
Data visualization: Experience using BI tools (Tableau, PowerBI, Qlik), or advanced use of visualization in R or Python (plotly, ggplot).
Fluency in Cantonese and good written English.
Strong interest in retail/consumer related data problems.
The Ideal Candidate:
You have a very strong sense in data.
You believe that data is the future and wish to gain competence as quickly as possible.
You enjoy learning and using new technologies on a day-to-day basis.
What you will learn:
You will learn these on the go. It would be a plus if you already know some of them, but they are not required.
Applying machine learning in business setting
Distributed/streaming processing frameworks (e.g. Beam, Kafka)
NoSQL databases (e.g. DynamoDB, MongoDB, Elasticsearch)
Data Warehousing (e.g. BigQuery)
Workflow management tools (e.g. Airflow)
Developing data applications on cloud platforms (e.g. AWS, GCP)
Containers (e.g. Docker, Kubernetes)
BI Tools (e.g. tableau)
Production level programming practise (e.g. version control, release control, deployment)
Established data team with multiple modern data/ML workloads in production.
Modern software development practises: work with version controlled, documented, tested, and peer-reviewed code.
Support for learning.
A passionate, motivated yet friendly and casual team.
Flexibility in assigning tasks to meet your learning and career goals.
Flexible working hour.
If you are interested, please provide your: