Job description

DepartmentEngineering and Technology
LevelExperienced (Individual Contributor)
LocationSingapore

The Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed the most innocent problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do. Browse our Engineering and Technology team openings to see how you can make an impact with us.

About the Team:
Shopee Paid ads team was established in 2016 to provide an e-commerce advertising platform by relying on Shopee’s massive data. Our expertise covers data, high performance AI-based online services, distributed systems, machine learning algorithms, and ads business strategies. The team places a strong emphasis on technology and strives to achieve innovation.
Job Description:
  • Define key metrics and build automated dashboards, reports, and models
  • Monitor key metrics and conduct deep-dive analysis on specific issues to identify underlying drivers
  • Work with large datasets for data extraction, cleaning, analysis and presentation
  • Provide recommendations for data improvement, quality, and efficiency of data
  • Support data-driven decision-making by identifying, structuring, and executing product and performance analysis

Requirements:
  • Bachelor’s degree in Computer Science, Math, Economics, Statistics, or other quantitative fields
  • 2+ years of work experience in quantitative analysis
  • A solid grasp of common statistical methods and applications (A/B testing evaluation, time series analysis), familiarity with common data analysis methodologies
  • Experience in data access tools and building dashboards with large datasets and multiple data sources
  • Familiar with web analytics tools and data visualisation (e.g. Google Datastudio/Lumos/Druid)
  • Has experience working with very large data sets and distributed computing (SQL/Hive/Hadoop/MapReduce)
  • Self-motivated, detail-oriented, fast learner, and highly organised
  • Good communication and teamwork skills
  • Experience in the e-commerce domain is preferred

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