A major media broadcasting solutions provider in Hong Kong is seeking an experienced data analytics expert to build and lead best-in-class data science solutions. The role involves collaborating with engineering teams to deploy data services and enhance data collection processes. Candidates should have at least six years of experience, strong skills in SQL, Python/R, and hands-on expertise with big data tools like Hive and AWS. A good command of English and Chinese is required.
Qualifications
At least 6 years of demonstrated industry experience in data analytics or related fields.
Hands‑on experience with big data components such as Hive, Spark, and Kafka.
Experience in deploying and running ML algorithms in production.
Responsibilities
Build best-in-class data science solutions.
Lead design and implementation for machine learning initiatives.
Enhance data collection procedures to optimize analytical systems.
Skills
Data analytics
Performance marketing
SQL
Python/R
Problem-solving
Presentation skills
Communication skills
Education
Degree in Mathematics, Statistics, Actuarial or Computer Science
Tools
Hive
Pig
Spark
Kafka
Presto
MapReduce
AWS
Google Cloud
Job description
Major digital and media broadcasting solutions provider in Hong Kong
Job Description
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.
Job Requirements
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.