Data Science Lead

4 weeks ago


Hong Kong, Central and Western District, Hong Kong SAR China eFinancialCareers Full time
Job Description

As a Data Science Lead, you will be responsible for leading a team of data scientists in developing new insights, advanced modeling techniques, and data science capabilities. You will conduct analytical experiments in a methodical manner to solve various problems and create a significant impact across business units and external partners.

You will act as a mentor to Senior Data Scientists and Data Scientists, encouraging their professional growth. You will establish actionable KPIs and success metrics, ensuring timely and accurate reporting. You will 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.

You will work closely with the IT team to facilitate easy and effective access to computing and data resources. You will act as the lead data strategist, identifying and integrating new datasets that can be leveraged through product capabilities. You will work with the data engineering team to develop data products.

You will identify relevant data sources and sets for client business needs, collect large structured and unstructured datasets. You will collaborate with non-technical departments to help them understand how data science can benefit them and improve their effectiveness and performance. You will communicate analytic solutions to stakeholders and implement improvements to operational systems as needed.

Requirements:

  • 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.

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