Bei Jing Position: Technical Lead, Parallel Data Mining
Position: Technical Lead, Parallel Data MiningResponsibilities:
• Technical lead on data mining development, responsible for its delivery and success.
• Lead and develop extensible, scalable, reliable analytics platform and product quality software. Excellent problem solving skills; Interact with other teams to define interfaces and understand dependencies; Write detailed technical documents
• Help to shape the data mining product requirements, and the technology & implementation approaches in building world class analytics software products.
Required Background and Skills
Essential
• Hands-on experience with Hadoop and other Map/Reduce technologies.
• Hands-on development experience in at least one of the areas: data mining, NLP and machine learning using statistical techniques.
• Master (Ph. D. preferred) in Computer Science with an emphasis in Data Mining, Machine Learning, Information Retrieval, NLP, Statistics, Mathematics, Artificial Intelligence, or a related field.
• Very strong development and design skills. Good understanding of algorithms, data structures, performance optimization techniques. Practical experience in lexical parsing a plus.
• Strong Software programming skills (Java, C/C++, Python, SQL, etc).
• Experience in dealing with very large amounts of structured and unstructured data.
Very desirable
• Outstanding communication skills, written and verbal, at multiple levels of the organization.
• Demonstrated ability to help build the team and direct teams to complete critical milestones under pressure with tight deadlines
• Knowledge of parallel matrix and graph algorithms is a big plus.
Additional success factors
• Experience with agile software development methodology (Scrum)
• Demonstrated track records of delivering innovative, elegant solutions working under broad directives with minimal hand-holding or oversight
• Demonstrated ability to work collaboratively in a small team context in order to build impressive technologies
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