1.Consult for Head of Data Science department, support managing and direct Data science department in applying advanced analytics and data science techniques to find customers’ behaviors, by which solving real business problems
Work directly with the head of Data Science department, head of AI Center to give direction for advanced analytics, predictive modeling in the bank’s operations
Proactively propose, execute and lead analytics projects to support business units under the head of Data science department
Apply data science and analytics techniques to get insights so as to help business to solve real business problems.
Get insights from customers’ behaviors using various data mining techniques
Develop machine learning models to help business units in various problems including customer churn, cross-selling products to existing customers….
Coach & train team members
Automate analytics process
2. Lead to conduct research, update and apply new advanced analytics, data science techniques
Conduct research on modern methods for data analysis, data mining & predictive modelling with its applications
New methods and techniques can be applied in EDA
Proactively analyze and utilize existing/new data sources to for better analyses
3. Lead of implementing, working with other centers / departments of EDA on advanced analytics, data science-related problems
Lead of supporting other centers / departments of EDA on diagnostic or predictive analytics when needed
Leading of planning and training other EDA team members on data analytics
Job Requirement
1. Educational Qualifications
Bachelor degree in Mathematics, Statistics, Engineering, Computer Science or other Quantitative discipline
2. Relevant Knowledge/ Expertise
Min 5-6 years of solid experience in advanced analytics, data science
Experience in stakeholder management a plus
Lots of experience in interpreting data and translate them into actionable insights, not just data
extraction and reporting
Good understanding of and lots of experience using analytical concept and statistical techniques, hypothesis development, analyzing complex data set and drawing conclusions
Good knowledge of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques
Knowledge of and experience using Cloud
Experience with MLOps·
Knowledge of data system, Business intelligence system
Data Mining, predictive modelling
3. Skills
Advanced in SQL Server & Excel
Advanced in using R or Python for data analysis
Experience in working with BI tools
Experience in working with database
Presentation skills
Team working skills
Working under pressure
Adapt well in changing environment & self-learning
Problem solving skills
Managing skills & leadership
4. Relevant Experience
BI in banking
Data mining related fields area
Predictive modelling related jobs
5. Required Competencies
Problem solving attitudes
Self-learning attitudes
Leaderships & managing skills
BENEFITS:
Attractive income, competitive salary and bonus according to ability
Bonus on Holidays and New Year (according to banking policy from time to time)
Get preferential loans according to the bank's policy from time to time
Attractive leave mode according to job rank (12-18 paid leaves/year)
Compulsory insurance according to labor law & VPBank care insurance for employees depending on rank and working time
Participate in training courses depending on the Training Framework for each position
Dynamic, friendly working environment with many opportunities for training, learning and development; participate in many interesting cultural activities (sports event, talents, teambuilding activities...)
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