Data Scientist
PCCW
full-time
Posted on:
Location Type: Office
Location: Hong Kong • Hong Kong
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About the role
- Support the end to end project with your team member data scientist: from understanding the business requirements to the delivery.
- Work on complex data science/analysis projects.
- Work on new PoC and R&D projects to anticipate the business needs.
- Assist data scientist team members in developing new insights and data science capabilities.
- Execute analytical experiments to help solve various problems.
- Establish actionable KPIs and success metrics.
- Leverage data science tools for analyzing large datasets.
- Devise and utilize algorithms and models to mine big data sets.
- Support the Lead Data Scientist in identifying and integrating new datasets.
- Communicate analytic solutions to stakeholders.
Requirements
- A master’s degree or PhD in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field.
- 3+ years of working experience in a data science capacity.
- No preference for the background sector but a first experience in Retail/FMCG/Property/Telecom is a plus.
- Strong technical understanding of Martech, personalization and marketing automation is preferred.
- Extensive experience solving analytical issues through quantitative approaches and machine learning methods.
- Vast experience using advanced statistical methods, data mining techniques, and information retrieval.
- Proficiency with data mining, mathematics, and statistical analysis.
- Advanced pattern recognition and predictive modeling experience.
- Excellent communication skills to convey technical messages in an understandable manner.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data sciencemachine learningstatistical analysisdata miningpredictive modelingalgorithm developmentKPI establishmentanalytical experimentsquantitative analysispattern recognition
Soft skills
communication skillsteam collaborationproblem-solvingstakeholder engagement