• Build or supplement existing AI / ML algorithms to improve content recommendation, article topic tagging, image recognition etc.
• Develop, improve and iterate on machine learning techniques and data mining methodology
• Enhance data collection processes to include data from 1st and 3rd party systems relevant for developing analytics systems
• Processing, cleaning, and verifying integrity of data leveraged for analysis
• Constructing automated anomaly and outlier detection systems to track and trigger alerts and/or automated tasks based on performance
• Create data tools to help streamline and automate workflows for Data Analytics & Insights team.

Job Requirements

• Master's degree in computer science, engineering or data science.
• At least 3 years of experience in high data volume environments, preferably in software, internet industry. Graduate work or degree in computer science or engineering a plus.
• Fluent comprehension of machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Proficiency with XML, JSON, Python, NoSQL, and SQL environments.
• Experience with at least one if not more common data science toolkits such as R, Weka, NumPy, MatLab, etc.
• Demonstrated experience with web architecture, scaling, debugging code, and performance analysis
• Demonstrated superior performance in prior roles with increasing levels of responsibility and independence; detail oriented, demonstrated ability to handle multiple projects and solve complex problems.
• Fluency in applied statistics - distributions, statistical testing, regression analysis etc
• Fluency in scripting and programming frameworks
• Collaborate with engineering and analytics teams to shape and drive tactical and strategic development of data infrastructure, reporting and analytical applications.
• Flexible, adaptive, quick learner - works well in a collaborative, communicative environment, data oriented personality
• Ideal if bilingual in Cantonese and English. Mandarin a plus

For more information, please leave a message on our website, www.LinkersCareers.com.

*All personal data provided will be used for consideration of your job application only.

For more information, please leave a message on our website, www.LinkersCareers.com. If you are interested, please send your full resume by clicking 'APPLY NOW'.

*All personal data provided will be used for consideration of your job application only.