7 năm trước

Lead Data Scientist

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công ty cổ phần gigatum việt nam

Ngành nghề: IT phần mềm IT Phần cứng - mạng

Mức lương: Thỏa thuận

Cập nhật: 13/08/2018 ( 6 năm trước)

7 năm trước

công ty cổ phần gigatum việt nam

IT phần mềm IT Phần cứng - mạng /

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14/10/2018 ( Đã quá hạn)

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MÔ TẢ CÔNG VIỆC

As a member of Data Science team, you will be tasked with delivering end-to-end data science solutions to improve and optimize Clingme customer stratification and recommendation engines and collaborating with the broader Product and Business teams to create compelling experiences for Clingme customers and merchants. You will have opportunities to collaborate with and be advised by experienced Data Scientists from the US, with decades of experience in big data, AI and machine learning.
Examples of your tasks include, but not limited to,
• Analyzing and mining large-scale structured and unstructured data sources to find key insights,
• Using probabilistic matching and graph theory to establish relationship structures between customers, merchants, services,
• Using unsupervised and supervised machine learning to classify customers
• building reliable, high-performance state-of-the-art production-quality machine learning solutions to be integrated with Clingme app
• Using Natural Language Processing to understand unstructured text collected by Clingme
• Applying anomaly detection techniques to identify frauds and abusive patterns

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Technical requirements:
• 2+ years of experience in advanced analytics, model building/validation, statistical modeling, optimization, and machine learning algorithms including supervised and unsupervised learning, boosting and ensemble methods
• Familiarity with A/B testing of data science features for mobile apps a strong plus
• Familiarity with one or more machine learning packages (e.g. scikit-learn, Caffe, Theano, Pylearn2, DeepPy, TensorFlow, Keras, H2O)
• Experience with state-of-the-art machine learning techniques (e.g. deep learning, gradient boosted trees, random forest)
• Familiarity with Python (preferred) or other programming languages like Java, R, Julia, C++, Scala
• Knowledge of RDBMS, Hadoop, Spark, Graph Databases (e.g. Neo4j) and NoSQL products a strong plus
Educational requirements and work experience:
• MS or PhD in Computer Science, Statistics, Mathematics, Engineering or equivalent (also considering BS degrees with substantial working experience)
• Well versed in machine learning, data mining, applied statistics
• Experience in solving problems using data science and building practical solutions
• Experience in working with Data Engineers, Product Manager to build end-to-end machine learning pipeline for large-scale consumer app is a strong plus
• Ability to quickly prototype ideas and solve complex problems by adapting creative approaches.
• Strong analytical skills and data-driven decision making
• Strong thought leadership with quick grasp on how data and insights can be turned into valuable features
• Strong interpersonal, communication, and collaborations skills to partner with others
• Quick to adapt to emerging challenges and execute under ambiguity
• Hands-on industrial experience with big data processing
• Enjoying learning new machine learning techniques and finding useful signals in structured and unstructured data