Data Scientist - Shopee Singapore Pte Ltd｜Meet.jobs

Responsibilities:

• 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.

Knowledge:

• 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

Requirements:

• 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