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Data Scientist - IC

Summary

Build and deploy ML models and data pipelines for a media-tech company, using Python/R, Spark, and cloud platforms like AWS.

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.

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