Data Science Lead

7 days ago

Hong Kong, Central and Western District, Hong Kong SAR China eFinancialCareers Full time
Job Title: Data Science Lead

As a Data Science Lead at eFinancialCareers, you will be responsible for leading a team of data scientists in developing new insights, advanced modeling techniques, and data science capabilities.

Key Responsibilities:
  • Conduct analytical experiments in a methodical manner to solve various problems and create a significant impact across business units and external partners.
  • Act as a mentor to Senior Data Scientists and Data Scientists, encouraging their professional growth.
  • Establish actionable KPIs and success metrics, ensuring timely and accurate reporting.
  • Analyze large data sets using data science tools and techniques to develop custom models and algorithms that uncover insights, trends, and patterns in the data.
  • Work closely with the IT team to facilitate easy and effective access to computing and data resources.
  • Act as the lead data strategist, identifying and integrating new datasets that can be leveraged through product capabilities.
  • Work with the data engineering team to develop data products.
  • Identify relevant data sources and sets for client business needs, collect large structured and unstructured datasets.
  • Collaborate with non-technical departments to help them understand how data science can benefit them and improve their effectiveness and performance.
  • Communicate analytic solutions to stakeholders and implement improvements to operational systems as needed.
Requirements:
  • A master's degree or PhD in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or a related quantitative field.
  • 7+ years of experience in a data science role, with a preference for working as a Lead or Senior Data Scientist in the last 2 years.
  • No preference for the industry sector, but experience in Retail/FMCG/Property/Telecom is a plus.
  • Must have experience leading a data science team in implementing new models, tools, and techniques that improve business performance through informed decision-making.
  • Strong technical understanding of Martech, personalization, and marketing automation preferred.
  • Extensive experience solving analytical issues quantitatively using machine learning methods, advanced statistical methods, data mining techniques, and information retrieval.
  • Proficiency in data mining, mathematics, and statistical analysis.
  • Advanced pattern recognition and predictive modeling experience.
  • Excellent leadership skills and the ability to lead a cross-functional team in a unified direction.
  • Ability to influence top business leadership and executives.
  • Excellent communication skills to convey technical messages in a clear and understandable manner that leads to business-wide improvement of data management, informed decision-making, and ultimately, performance.
  • Experience in Deep Learning projects such as NLP/computer vision and neural networks.
  • Proficiency in at least one of the following programming languages: Python and R.
  • Experience working with distributed computing tools such as Hadoop and cloud environments such as AWS, Azure, or GCP.

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