The Data Analytics team has impacted the broader organization significantly. Data-driven transformation through the democratization and access of data via multiple platforms empowers our teams to make smarter decisions. Measuring the impact of those choices gives us the agility to adapt quickly when necessary. With the advent of these initiatives around data storage, centralization and automation, we've seen massive gains in efficiency, growth in our core metrics (traffic, revenue) and a rising tide of excitement, morale and engagement at the South China Morning Post. You’ll be joining a team of mathematicians, analysts, engineers and media with prior experience across agency, advertising, magazines, technology and finance. As we continue to build and integrate cutting-edge technology in data infrastructure, cloud services, artificial intelligence, augmented / virtual reality, and machine learning, we’re excited to see what the future has in store for the Post and for Hong Kong.
Job Responsibilities 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. (In lieu of degree, at least 4 years of relevant work experience) with minimum of 3-5 years of experience in high data volume environments, preferably in software, internet industry. Graduate work or degree in computer science or engineering is 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 English proficiency required, proficiency in Cantonese and mandarin a plus
Work location will be at Causeway Bay office.