• Location: Hong Kong
  • Salary: HK$70000 - HK$85000 per month + negotiable
  • Technology: Other ERP Jobs
  • Job Type: Permanent
  • Date Posted: 12th Apr, 2019
  • Reference: 20190410
Introduction:
Our client is a leading global innovative digital services provider in Hong Kong. They has 29,000 digitally connected people across 23 countries. Due to product development, they now invite high calibre candidate to join them for the Lead data scientist role.

Key responsibilities of the role:

Produce innovative solutions for clients driven by exploratory data analysis from complex and high-dimensional data sets, both structured and unstructured, applying advanced statistical, data mining, and machine-learning techniques.
Apply knowledge of statistics, machine learning, programming, data modelling, simulation, deep learning and advanced mathematics to recognise patterns, identify opportunities, pose business questions, and make valuable discoveries leading to better business decision making
Use a flexible, analytically approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data
Generate and test hypotheses, analyse and interpret the results of product experiments
Communicate data-driven insights and deliver action plans that steer business strategy and decision-making for one or more business segments.
Provide input and guidance on data visualisation techniques and opportunities
Identify new analytic tools and techniques and lead development and deployment of infrastructure for generating and analysing information
Mentors and manages junior colleagues and team members as required by various work-streams

Qualifications and experience:

8+ years of demonstrable experience in leveraging Data Science to solve business problems, preferably in a consulting environment. 3+ years managing complex teams of business and technical resources.

Master's or PHD degree in Applied Mathematics, Statistics, Analytic, Operations Research, Economics/Econometric, Engineering or another relevant quantitative field.

Highly proficient with two or more predictive analytic tools including R, Revolution R, SAS, SPSS, MATLAB, Power BI, MicroStrategy, and Tableau
Strong knowledge of Python and the library ecosystem
Demonstrable professional experience with data mining, analysis, modelling, of large scale, complex data sets
Highly proficient in statistical analysis, quantitative analytic, forecasting/predictive analytics, multivariate testing (A/B testing), deep learning and optimization algorithms
Highly proficient in at least one high level programming languages such (i.e. S, C++, Python, Julia, and etc.)
Highly proficient in statistical modelling tools and Cognitive analytics like text analytics, image recognition, video analytics etc.
Highly proficient in model identification by use case/industry and knowledge of applying models to enterprise use cases
Able to explain complex analytical methodologies and concepts in non-technical language
Experience with NoSQL databases and tools (i.e. Hadoop, Hive Spark, etc.)
Exceptional written and verbal communication and presentation skills





For more details please contact iris zeng at +852 3018 0386.
Email address: i.zeng@washingtonfrank.com

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