What will you do:
-Research and design algorithms, including deep learning and object recognition (detection and classification)
-Design data driven systems for risk control, fraud detection, recommendation, customer segmentation, adaptive pricing etc.
-Test and verify algorithms overall efficiency of the model.
-Consistently work to enhance the overall performance of the model.
What should you have:
-PhD/Master’s Degree in Computer Science/ Mathematics, or fields related.
-Prior experience of independent algorithm research.
-Experience in Python, R or Scala.
-Experience in Hadoop, Spark, Tensorflow or any frameworks related.
-Knowledge in supervised/unsupervised learning, classification/clustering algorithms, feature engineering/optimization
-Experience in deep learning, reinforcement learning, personalized search and recommendation, user/seller behavior modeling, marketing algorithms preferred.
-Experience with visualization software to convert models/insights into simple, business sell-in stories is a plus.
-Outstanding analytical and problem-solving skills.
-Self-motivated, innovative, and proactive. Willing to learn new knowledge and explore unfamiliar domains.