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Two95 International

Data Engineer / Data Scientist

Data Science +1Confirmed live in the last 24 hours
Full-timeKuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia$12.5kIn-person

About the Job

Requirements

  • A completed Bachelor's, Master's, or PhD in Computer Science, Social Sciences, Physical Sciences, Statistics, Mathematics, Computer Engineering, or a related field.
  • At least 4 years of experience building scalable and reliable ETL/ELT pipelines and processes to ingest data from varied sources; ecommerce retail experience is preferred.
  • Deep understanding of relational database management systems such as PostgreSQL and MySQL, NoSQL databases such as MongoDB and Elasticsearch, and hands-on experience implementing and performance-tuning MPP databases such as BigQuery.
  • Experience with Tableau, Power BI, Superset, or another standard data visualization tool.
  • Strong proficiency writing production-quality code, preferably in R or Python, and engineering experience with machine learning projects such as time-series forecasting, classification, and optimization.
  • Experience administering and deploying CI/CD tools such as Git, Jira, and Jenkins; industrialization tools such as Ansible and Terraform; and workflow-management tools such as Airflow, Jenkins, and Luigi in Linux environments.
  • Sound business judgment, strong analytical skills, ownership, and a proven track record of leading data-driven analyses and influencing results.
  • Solid experience with GCP.

Responsibilities

  • Drive the full lifecycle of data science projects, from gathering and understanding end-user needs through implementing fully automated solutions.
  • Develop and provision data pipelines to enable self-service reports and dashboards.
  • Apply techniques using R or Python to address appropriate business problems.
  • Visualize data using Tableau and create repeatable visual analyses for end users.
  • Take ownership of existing BI platforms and maintain the integrity and accuracy of data and its sources.
  • Use Agile/Scrum project-management knowledge and experience to prioritize, push back, and manage a data product and sprint backlog.

Desired Qualifications

  • E-commerce, logistics, or fashion-retail background is a bonus.

About the Company

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