Bộ lọc

Mô tả công việc

  • Develop new algorithms and improve existing ones for company’s various data products (which are employed on multiple platforms: Desktop website, Mobile website and Android & iOS mobile apps). Potential projects include improving / implementing the following systems:
    • A search engine to return the products that are most relevant to a user’s search keyword, based on language data (e.g., semantics extracted from Vietnamese search keywords) and past user behavior data.
    • A product ranking system to predict the best-selling products of each category (e.g., fashion and electronics), based on past transaction data and user behavior data.
    • An advertising system based on users’ search keywords (which is similar to Google AdWords, and requires large-scale, real-time processing capabilities).
    • A recommender system to predict products that a user may like, based on his or her past behavior data.
    • A system to detect counterfeit products, based on product attributes (e.g., price), textual cues (e.g., product description) and visual cues (e.g., product images).
       
  • In order to develop the above systems, you will have access to company’s various data sources:
    • User behavior logs (e.g., search keyword data, product impression data and product click data)
    • Transaction data (e.g., completed orders and cancelled orders)
    • Product databases (e.g., product description and images)
    • Third-party data (e.g., Google Analytics data)
       
  • Work with the Head of Data Science through all stages of the algorithm development process:
    • Build train and test datasets from the aforementioned data sources
    • For each system, develop an algorithm that balances accuracy and speed (company’s websites have millions of visits per month, and thus speed is of great importance)
    • Work with data engineers to deploy the developed algorithms in production
    • Design A/B tests to measure the impact of the developed algorithms on e-commerce metrics such as click-through rate (CTR) and conversion rate (CR)
       
  • Perform ad-hoc analyses of user behavior logs and transaction data to derive important business insights and metrics, e.g., customer retention rate and customer lifetime value

Yêu cầu công việc

  • Experience with Machine Learning techniques (e.g., classification, clustering and feature engineering) is a big advantage
  • Experience with Artificial Intelligence (e.g., Natural Language Processing - especially for the Vietnamese language, and Computer Vision) is a big advantage
  • Good knowledge of algorithms and data structures
  • Critical thinking and good problem solving skills
  • Good programming skills in one or more languages, especially Java, Python, R
  • Good knowledge of databases. Experience with NoSQL databases such as MongoDB and HBase is an advantage
  • Experience with software development on Linux
  • Master's or PhD degree in Computer Science, Statistics, Mathematics or a related field is an advantage
  • Experience with the following technologies is an advantage:
    • Machine learning frameworks, e.g., Mahout, MLlib and scikit-learn
    • Search engines, e.g., Elasticsearch and Solr
    • Big data technologies, e.g., Hadoop and Spark

Thông tin khác

  • Work place: District 7
  • A great opportunity to develop large-scale data products for a leading e-commerce marketplace with millions of visits per month
  • You will work directly with the Head of Data Science (PhD in Computer Science, National University of Singapore (NUS))
  • Dynamic and creative work environment
  • 13th month salary
  • Premium healthcare insurance (FPT Care), social insurance and unemployment insurance
  • Each year, the best employees are awarded a company-sponsored overseas trip