Location: Singapore/Remote
About this role:
  • Build and optimise machine learning models on our platform in particular on audience segmentation, look-alike modelling
  • Work closely with business, product and engineering to design, develop, test and deploy new data products
  • Work together with engineering team to build data pipelines to ingest, clean and consolidate data from multiple sources of data
  • Work closely with engineers to deploy machine learning models into production
Skills Required:
  • Bachelor’s degree (or higher) in computer science, computer engineering, information systems, mathematics or equivalent practical experience
  • 2+ years of experience in a data scientist or engineer role, with familiarity with the following software/tools:
    • Familiarity with at least one of these systems: Airflow, Hadoop, Spark, Kafka
    • Experience in processing and analysing both structured and unstructured data
    • Experience in cloud platforms such as AWS and/or Google Cloud
    • Proficiency in Python and SQL
  • Production experience in deploying machine learning models
  • Good understanding of statistics and mathematics
  • Ability to communicate analysis results to internal team and external partners professionally
  • Highly accountable and take ownership. Must have a collaborative attitude and work well in a team
  • Prior experience working with interest graphs, blockchain and/or recommendation engines will be a strong plus