Data Scientist – Truly Global Data Driven Business - Rare Opportunity in HK!
XPAND GROUP
- Company Industries:Others
Job Information
- Post Date:2015-03-16
- Career Level:Middle
- Location:Others
- Yr(s) of Exp:5 years
- Qualification:Degree
- Salary:
One of my clients, a globally recognized player in their field, by essence, a purely data centric business, are looking to make a few additions to their data science team.
Calling all Data Scientists!
This is a fast growing function internally, successful candidates will be expected to craft their own space, leveraging their skills and experience to maximise their value to the business. As a result, you will have a lot of freedom in terms of influencing the data science function.
- Insights: Identify key insights and leverage them to inform and influence business strategy.
- User behaviour modelling: Predicting user propensity for click, conversion, and attrition.
- Personalization: Recommendation algorithms leveraged for both users and business partners.
- Forecasting: Modelling historical data to forecast demand, purchase propensity, partner risk, etc.
- Marketing and CRM: Customer life-stage modelling, large-scale campaign management for customer acquisition and continued engagement.
- Optimization: Large-scale linear and non-linear constrained optimization algorithms for managing the right portfolio of offers for each user
We are looking for candidates with strong leadership, execution, and strategic thinking skills, alongside:
- PhD, Masters, or Bachelors in relevant field (Data Mining, Computer Science, Machine Learning)
- At least 4-5 years of industry experience in software engineering, marketing, data mining, statistical analysis, and/or modelling at premier companies
- Strong communication skills with ability to drive data driven insights across the organization
- Keen aptitude for large-scale data analysis with a penchant for identifying key insights
- Expertise in programming languages like Lisp/Java/SML/C and scripting languages like Ruby/Python/Perl/PHP
HOW to apply:
Xpand your job search in the right direction by applying via the links provided. If you have any difficulties doing so, you may also call Matt on +852 3579 4628
Company Info
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