eCommerce Data Scientist

Location: Singapore
Reference: 2591995
Salary: Up to S$135,000 per annum
Contact: Oliver Wood
Email: email Oliver
  • Work cross-functionally with business managers/product managers/engineers, and designers
  • Develop predictive analytics for customer behaviour and apply machine learning, optimisation techniques, in core subject areas including but not limited to: fraud detection, recommender systems, product understanding, customer segmentation, demand forecasting and supply chain optimisation.
  • Build, validate, test, and deploy models and algorithms. Able to implement data science experimental framework to enable organization-wide experiments.
  • Make strategic data architecture recommendations.
  • Visualize data for business and technical audiences and Conduct end-to-end data management starting from data collection / preparation to providing insights for key stakeholders.
  • Effectively communicate solution approaches and analyses to stakeholders.
  • Contribute to team’s innovation and IP creation.
  • Supervised/unsupervised learning, Classifier algorithms, clustering algorithms, data engineering, feature engineering/optimization
  • Knowledges on recommendation system, knowledge graph, nature language processing, image processing and deep learning. 
  • Strong data visualization capabilities
  • A/B testing, bandit optimization, experiment design
  • Minimum B.S. degree in Computer Science or a related technical field. Masters or PhD in Computer Science, Statistics, Biostatistics or fields related to data mining preferred
  • Excellent communication skills with the ability to identify and communicate data driven insights
  • Detail-oriented and efficient time manager who thrives in a dynamic and fast-paced working environment
  • 2+ years of Python and/or R development and Unix/Linux system experience
  • 2+ years of SQL (Mysql, Mssql, PostgresQL, Hive, etc) experience
  • Preference will be given to candidates with the following additional requirements as below
    • Working experience on big data analytics and distributed databases or distributed systems (Hadoop, Spark, Hbase, Cassandra etc.)
    • Working experience with parallel algorithms in data modeling / machine learning
If this is not quite right for you but your role is focused on the data ecosystem then get in touch with - Ollie is our Data / Analytics hiring oracle....

CEI No: R1112169 | Licence No: 07C3147