Data Scientist - IC

• Building up the best-in-class data science solutions to our production environments
• Work closely with our engineering, product and business teams to formulate, communicate and execute a holistic data science strategy that leverages industry best practices.
• Lead the design, implementation and on-going testing for algorithms for recommendation, propensity modelling and machine learning initiatives.
• Work closely with engineering and product teams to deploy data services to production environments.
• Enhance data collection procedures to optimise analytical and modelling systems.
• Engage with business stakeholders, understand their pain points to identify opportunities and contribute to delivering incremental value to the business.
• Champion a culture of innovation and analytical thinking across the business.

• Degree in Mathematics, Statistics, Actuarial or Computer Science.
• At least 6 years of demonstrated industry experience in data analytics, performance marketing, or big data related fields.
• Experience with large, complex and multiple data sets from various sources.
• Hands-on experience on using big data components such as Hive, Pig, Spark, Kafka, Presto and MapReduce.
• Strong in SQL and Python/R.
• Experience in AWS (Sagemaker, EMR, Glue, EKS), Google Cloud or other Public cloud environments is a must.
• Preferably experience in deploying and running ML algorithms in production; knowledge on ML model and algorithms is highly desirable.
• Working experience in digital, e-commerce industry, mobile app and web environment is highly desirable.
• Good presentation and communication skills; strong analytical, problem-solving and interpersonal skills.
• Flexible and able to work in a dynamic environment and manage your own time and in a high paced work environment and tight timeline.
• Good command of both written and spoken English and Chinese.

Classy Wheeler