Data Scientist
South China Morning Post
- Hong Kong
- Permanent
- Full-time
- 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.
- 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.
- Clearly articulate 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.
- Apply a diverse set of statistical analysis methods to identify patterns, trends, and actionable insights.
- Develop data intelligence tools to empower the organization with enhanced data analytics capabilities.
- Design and implement systems for automated anomaly and outlier detection to enhance data monitoring capabilities.
- Collaborate with engineering teams to integrate anomaly detection systems seamlessly into operational workflows.
- 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.
- Strong logical thinking, problem-solving skills, and the ability to work both independently and collaboratively.
- Exceptional communication and presentation skills with the ability to convey complex algorithms and findings to non-technical audiences.
- Excellent problem-solving skills with a keen attention to detail.
- English proficiency is required
- 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.
- 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.
- Clearly articulate 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.
- Apply a diverse set of statistical analysis methods to identify patterns, trends, and actionable insights.
- Develop data intelligence tools to empower the organization with enhanced data analytics capabilities.
- Design and implement systems for automated anomaly and outlier detection to enhance data monitoring capabilities.
- Collaborate with engineering teams to integrate anomaly detection systems seamlessly into operational workflows.
- 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.
- Strong logical thinking, problem-solving skills, and the ability to work both independently and collaboratively.
- Exceptional communication and presentation skills with the ability to convey complex algorithms and findings to non-technical audiences.
- Excellent problem-solving skills with a keen attention to detail.
- English proficiency is required