Job Description

Responsibilities
1. Exploratory data analysis to understand customer struggles in the digital journey and create actionable insights through journey analytics
2. Deep-dive analysis using advanced statistical methods to understand the primary drivers behind customer struggles
3. Apply machine learning techniques to do customer segmentation, intelligent targeting and predictive servicing
4. Able to understand and solve the business problem by translating into a data model and building insights into an actionable outcome
5. Analyse experiment results and identify opportunities for improving experiment uplift; propose new experiment iterations based on the insights from the data
6. Support full lifecycle of experimentation (A/B testing) through journey analytics and machine learning driven insights
7. Collaborate with cross-functional business teams to deliver high-impact insights using analytics across a variety of customer servicing areas
8. Create visualization/dashboards for key metrics/insights
9. Verification/UAT of technology solution to ensure functional requirements are metRequirements:
1. A university degree or higher in Statistics/ Data Science/ Computing/Engineering, with a strong background in statistical concepts
2. Excellent hands-on experience in Python, Pyspark, Spark SQL/mysql
3. End to end data science workflow, starting from data extraction, wrangling, modelling and deployment in production environment
4. A good understanding of data analysis and machine learning, NLP concepts5. SGreans/PR onlyJob Types: Full-time, Contract
Contract length: 12 monthsSalary: $3,500.00 - $4,300.00 per monthSchedule:

• Monday to Friday