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Retail jobs in United States
Hiring for Data Engineer / Data Scientist
Two95 International Inc.
Kuala Lumpur
On-site
MYR 80,000 - 120,000
30+ days ago
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MYR 20,000 - 100,000
30+ days ago
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MYR 100,000 - 150,000
30+ days ago
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Decathlon Malaysia
Kajang Municipal Council
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MYR 100,000 - 150,000
30+ days ago
Hiring for Data Engineer / Data Scientist
Two95 International Inc.
Kuala Lumpur
On-site
MYR 80,000 - 120,000
Full time
30+ days ago
Job summary
A leading tech consulting firm in Kuala Lumpur is seeking a skilled Data Scientist to manage full lifecycle projects, develop data pipelines, and visualize data using Tableau. The ideal candidate will have 4+ years in ETL/ELT processes, strong coding skills in R/Python, and experience with relational databases. This role offers competitive benefits within a dynamic team environment.
Qualifications
- 4+ years of experience in building scalable and reliable ETL/ELT pipelines.
- Strong proficiency in writing production-quality code in R or Python.
- Experience administering and deploying CI/CD tools in Linux environments.
- Solid understanding of GCP.
Responsibilities
- Drive the full lifecycle of Data Science projects.
- Develop Data pipelines for self-service reports and dashboards.
- Visualize data using Tableau.
- Maintain data integrity and accuracy.
Skills
Data Science
R or Python
Tableau
ETL/ELT processes
Relational Database Management
Machine Learning
Education
Bachelor's, Master's or PhD in relevant fields
Tools
PostgreSQL
MySQL
MongoDB
ElasticSearch
BigQuery
CI/CD tools (Git, Jira, Jenkins)
Ansible
Terraform
Airflow
Job description
Responsibilities:
- Drive the full lifecycle of Data Science 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 techniques to answer the appropriate business problems using R or Python.
- Visualize 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:
- Must have completed education from Bachelors, Masters or PHDs from Computer Science, Social Sciences, Physical Sciences, Statistics, Mathematics, Computer Engineering and any related field.
- 4+ years of experience in building out scalable and reliable ETL/ELT pipelines and processes to ingest data from a variety of data sources, preferably in the ecommerce retail industry.
- Deep understanding of Relational Database Management Systems (RDBMS) (e.g. PostgreSQL, MySQL) , No-SQL Databases (e.g. MongoDB, ElasticSearch) and hands-on experience in implementation and performance tuning of MPP databases (e.g. BigQuery).
- Experience with Tableau, Power BI, Superset or any standard data visualization tools.
- Strong proficiency in writing production-quality code preferable in R/Python, engineering experience with machine learning projects like Time Series Forecasting, Classification and Optimization problems
- Experience administering and deploying CI/CD tools (e.g. Git, Jira, Jenkins) Industrialization (e.g. Ansible, Terraform), Workflow Management ( e.g. Airflow, Jenkins, Luigi) in Linux operating system environments.
- 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.
- Solid experience in GCP
- E-commerce / logistics / fashion retail background a bonus.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.