Data Scientist Leader

2 days ago


Hong Kong, Central and Western District, Hong Kong SAR China South China Morning Post SCMP Full time

We are seeking a highly skilled and motivated Data Scientist to join our Strategy and Data team at the South China Morning Post SCMP. As a Data Scientist, you will play a key role in leveraging advanced analytics and machine learning to extract valuable insights from complex data sets.

Job Overview

  • Analyze large and complex data sets.
  • Utilize advanced statistical techniques and machine learning algorithms to extract meaningful insights.
  • Apply a deep understanding of data structures and patterns to derive actionable recommendations.
  • Develop predictive models and algorithms.
  • Contribute to the creation of robust models that address business problems and optimize operational processes.
  • Stay abreast of the latest developments in machine learning to continuously enhance model accuracy and efficiency.
  • Effectively communicate findings and insights to both technical and non-technical stakeholders.
  • Collaborate with cross-functional teams to ensure alignment between data-driven insights and business objectives.

Key Responsibilities

  1. Develop and maintain large-scale analytical models using Python and SQL.
  2. Analyze and interpret complex data sets to identify trends and patterns.
  3. Design and implement systems for automated anomaly and outlier detection.
  4. Collaborate with engineering teams to integrate data science solutions into operational workflows.
  5. Communicate results and insights to both technical and non-technical stakeholders.

Requirements

  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
  • A minimum of 4 years of hands-on experience in executing data science projects.
  • Proficiency in Python and SQL is a prerequisite.
  • Solid working experience applying machine learning techniques on high-volume data.
  • Demonstrated expertise in managing the complete data science project life cycle.
  • Experience with cloud platforms such as GCP, AWS, or Azure is highly desirable.

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