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

Proactively propose, execute and lead analytics projects to support business units under the head of Data science department
Develop machine learning models to help business units in various problems including customer churn, cross- selling products to existing customers….
Automate analytics process
Apply data science and analytics techniques to get insights so as to help business to solve 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
Coach & train team members
Get insights from customers’ behaviors using various data mining techniques

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
Proactively analyze and utilize existing/new data sources to for better analyses
New methods and techniques can be applied in EDA

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

Educational Qualifications

Bachelor degree in Mathematics, Statistics, Engineering, Computer Science or other Quantitative discipline

Relevant Knowledge/ Expertise

extraction and reporting
Experience in stakeholder management a plus
Knowledge of and experience using Cloud
Knowledge of data system, Business intelligence system
Data Mining, predictive modelling
Good understanding of and lots of experience using analytical concept and statistical techniques, hypothesis development, analyzing complex data set and drawing conclusions
Min 5- 6 years of solid experience in advanced analytics, data science
Good knowledge of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques
Experience with MLOps·
Lots of experience in interpreting data and translate them into actionable insights, not just data

Skills

Advanced in SQL Server & Excel
Managing skills & leadership
Presentation skills
Experience in working with database
Problem solving skills
Experience in working with BI tools
Advanced in using R or Python for data analysis
Team working skills
Adapt well in changing environment & self- learning
Working under pressure

Relevant Experience

Predictive modelling related jobs
Data mining related fields area
BI in banking

Required Competencies

Leaderships & managing skills
Self- learning attitudes
Problem solving attitudes

BENEFITS:

Dynamic, friendly working environment with many opportunities for training, learning and development; participate in many interesting cultural activities (sports event, talents, teambuilding activities...)
Get preferential loans according to the bank&039;s policy from time to time
Working time: Monday- Friday & Saturday morning (two Saturday mornings/month off)
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
Bonus on Holidays and New Year (according to banking policy from time to time)
Attractive income, competitive salary and bonus according to ability

Chế độ bảo hiểm, Du Lịch, Phụ cấp, Đồng phục, Chế độ thưởng, Chăm sóc sức khỏe, Đào tạo, Tăng lương, Công tác phí, Phụ cấp thâm niên, Nghỉ phép năm, CLB thể thao

Cập nhật gần nhất lúc: 2024-10-04 05:00:02