• evelyn7706

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.







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