Data Scientist, Singapore
Updated: Oct 9, 2019
What will you do?
Design and build data driven systems for risk control, fraud detection, recommendation, customer segmentation, adaptive pricing etc.
Build, validate, test, and deploy models and algorithms.
Work with backend engineers to architect data storage and processing pipelines.
Work with product managers to develop new product features based on insights from data.
What do you need?
Master or PhD in computer science, statistics, mathematics, or fields related to big data preferred.
Experience in Python or R.
Knowledge in supervised/unsupervised learning, classification/clustering algorithms, feature engineering/optimization, computer vision.
Experience in deep learning, reinforcement learning, personalized search and recommendation, user/seller behavior modeling, marketing algorithms preferred.
Experience of Hadoop, Spark, Tensorflow is a plus.
Experience with visualization software to convert models/insights into simple, business sell-in stories would be an advantage (but not mandatory).
Outstanding analytical and problem-solving skills.
Self-motivated, innovative, and proactive. Willing to learn new knowledge and explore unfamiliar domains.